missionprofile.dev
#Mission Profile | Development
#ChcNav | Object Analysis | Object Detection | Autonomous Vehicle
#Titra | Alpin unmanned helicopter | In regional priority investment list of Ankara | Military, civilian and rescue missions | Design based on the manned Italian Heli-Sport CH 7 ultralight chopper | UAVOS | Length 7 m | Width 1.5 m | Height 2.35 m | Rotor diameter 6.28 m | Empty weight 340 kg | Can be easily transported in a vehicle | Maximum payload of 200 kg including fuel | Wideband satellite communication channel | Fully redundant autopilot system aboard | Fully autonomous take off and landing system | Remote ground control network capability | Autorotation landing capability | High efficiency flight control | Hyper spectral, synthetic aperture radar (SAR) | Electro optical/infrared (EO/IR) cameras | Rotax 914 UL engine | 115 hp | Maximum cruise speed 160 km/h | Maximum range of 840 km | Altitudes of up to 5,000 m | Maximum endurance seven hours | Two hours flight time fully loaded
#CNH Industrial | Autonomous electric tractor prototype | Monarch Tractor | New Holland Agriculture | Quiet | Allows for nighttime operation | Improves livestock wellbeing when working inside covered areas such as barns | T4 Electric Power houses sensors, cameras and control units | Farmers can remotely activate the tractor via a smartphone app | Shadow Follow Me mode | 360 degree perception system detects and avoids obstacles | Telematics and auto guidance keep all functions in check for operators | Fleet Management lets the farm manager assign tasks to each each piece of equipment | Offboard digital services let farmers run the tractor from anywhere, at any time
#IHI Corporation | Autonomous fleet | Heavy industry manufacturer | Container and haulage trucks
#PixMoving | Robots and smart vehicles for urban services
#Meltio3d | Metal 3D printing
#MarkForged | Precision machines
#Swaayatt Robots | Autonomous driving
#Perrone Robotics | Robotic platforms for research
#Aalto University | Bio inspired robotics
#Nuro | Autonomous delivery vehicles
#Torc Robotics | Autonomous vehicles
#Trimble | Map based localisation system couples an inertial navigation system (INS) with simultaneous localisation and mapping based (SLAM) capabilities
#BMW | Self driving cars
#Hygear | Hydrogen refuelling station
#University of Cambridge | Supply Chain Sustainability
#H3Dynamics | Hydrogen electric flight configuration | Distributed hydrogen electric propulsion pods | Hydrogen ready airport hubs | Fully autonomous charging station for battery drones
#Spectronik | Hydrogen PEM fuel cells
#Hydrogen Central | Hydrogen market intelligence
#Jetson AGX Orin Developer Kit | NVIDIA | 275 Trillion Operations per Second (TOPS) | Multiple concurrent AI inference pipelines | High speed interface support for multiple sensors
#Neste | Sustainable lubricants
#MIT | White graphene nanotubes | Stronger, heat resistant composites | Membranes for renewable energy | Hollow aligned fibers, or nanotubes, made from hexagonal boron nitride | Hexagonal boron nitride ( hBN) | Fabricating aligned boron nitride nanotubes in bulk | hBN is transparent and electrically insulating | hBN to electrically insulate sensors within electronic devices | Blue energy, electricity produced from the ionic filtering of salt water into fresh water | Nanotube engineering | Hypersonic and space applications
#DTN | Autonomous Underwater Vehicles
#CMU | Carnegie Mellon University | Robotics
#Bain | Management consulting
#Apta | Autonomous and Electric Vehicles Association
#WolfSpeed | Silicon Carbide and GaN semiconductors
#Smart Nation Signapore | Smart City
#Geely | Automobile manufacturer
#Virtusa | Deep digital engineering
#WITTENSTEIN | Mechatronic drive system |Servo drive system | Automated Guided Vehicles | Warehouse logistics | Encoder for speed control | Vehicle manufacturers can create motion tasks easily | Movements can be started simultaneously via a synchronization signal from the control system
#Intel | OffRoad Autonomous Vehicle Simulation
#Mercedes Benz | Drive Pilot System
#Computer Vision Center Barcelona Spain
#NATO | Innovation Fund | Defence Innovation Accelerator for the North Atlantic (DIANA) | Dual use emerging technologies of priority to NATO | Artificial intelligence | Quantum enabled technologies | Autonomy | Biotechnology |Novel materials | Energy | Propulsion | Space
#Renu Robotics | Solar and energy facility vegetation management
#European Centre For Space Applications And Telecommunications
#Navya | Design and construction of autonomous and electric vehicles
#Aviva | Insurance
#Volodrone | Saudia | Autonomous VoloDrone cargo carrying vehicle
#Carbon Robotics | Autonomous LaserWeeder Robot | Deep Learning | Laser | Lidar Sensor | Nvidia | Cumming
#Fireflies | Insect scale robots emitting light when flying enabling motion tracking and communication | MIT
#Denso | Chips for autonomous driving systems
#Dronamics | Cargo drones | Ability to land on short runways | Short airstrip closer to the final recipient | Standard piston engine | 20,000ft altitude,below the mass of passenger air traffic | 350kg (770lb) cargo load | German logistics giant Hellmann | Connecting Greek islands by cargo drone | Drones more frequent than ferries | Ability to break down deliveries into several packages | Increasing the frequency of deliveries | Offering speed and flexibility
#Waymo | Google self driving car | California Public Utilities Commission (CPUC) allowance to charge for all rides, expand hourly operations and service area, and add unlimited robotaxis to company fleet | AVs allow greater independence for those with disabilities by allowing them to hail a car on their own, particularly for those whose disabilities make it difficult for them to interact with driver | AVs never get tired, distracted, drive impaired, or angry
#Fortum | Lithium Ion Battery Recycling Technology | Recovering lithium, cobalt, manganese and nickel from batteries for reuse in the production of new ones | Hydrometallurgical recycling process | 80% of a battery recycled | 95% of the valuable metals from the battery black mass recovered | Meeting the rising demand for recycled battery materials | Enabling the sustainable recovery of lithium, nickel, cobalt, and manganese | Recycling materials essential in the manufacturing of new EV batteries
#OUSTER | High Resolution Digital Lidar Sensor
#Elroy Air | Cargo drone | Hybrid electric engine | Small turbine generating electrical power and runnung off aviation fuel | Refueling at existing facilities rather than relying on docking stations for electricity | Bristow | Offshore oil industry to shift equipment
#Transferring Skills To Real Robot
#Autonomous System Virtual Testing
#Technologies For Autonomous Operation Elements
#Developing Advanced Assistance Functions
#Autonomous Operation Of Road Construction Equipment
#Autonomous Crane | Groomer
#SatelIoT | IoT connectivity over standard 5G NB-IoT
#Autodesk 3ds Max | Autodesk
#Fortum | Renewing the value chain for electric vehicle and industrial use batteries | Recycling and second life solutions for Lithium Ion batteries
#Universal Scene Description | USD | Metaverse | Digital Twins | Simulating scenes, roads and factories | Autonomous Vehicles | Robots | Large virtual worlds | Pixar | Adobe | Ubisoft | Nvidia
#Catepillar | Cat Command for Excavating | Remote control system | Cat Command station | Non line of sight remote control | Improving machine productivity | Fast restart of operations | Virtual cab with familiar controls and machine displays | Up to five different machines controlled by one user | Access to machine setting just like in the machine | Solution to workforce shortages | Training advantages for newer operators | Opportunities to those with physical limitations | Attracts a new generation of workers | Increases the longevity of experienced operators
#Air Car | eVTOL | Autonomous Electric Aircraft
#Synthetic data generation | Computer simulation | Algorithm | Statistical modeling | Autonomous vehicles | Information injected into AI models | Creating digital twins | Testing AI systems for bias | Simulating the future, alternate futures or the metaverse | Datagen | MostlyAI | Synthesis AI
#Vella Development Kit | Velodyne Lidar | High level perception outputs for indoor environments | 3D object list | Free space and obstacle detection | 3D occupancy grid | Lidar odometry | Extrinsic calibration | Automated ground vehicles | Surround Lidar Sensors
#Ambri | Batteries for clean energy | Liquid Metal Battery | Self heating and regulating | Calcium and antimony as material | Rapid deployment | Scalable | Internal operating temperature 500˚ C | Desert | Arctic | Antarctic | Third Pole | Shipped cells inactive at ambient temperature | Heaters bringing cells to operating temperature | No degradation, air conditioning, replaceable nor any serviceable components | MIT | GroupSadoway Lab | Boston Metal
#General Atomics | Air to Air Laser Communication System | Crosslinks from aircraft to other platforms such as unmanned aircraft, maritime vessels, and space systems
#Ouster | High-resolution lidar sensors for long, mid, and short range applications | Smart infrastructure | Autonomous machines | Robotics applications | Digital lidar architecture | Digital device powered by a fully custom silicon CMOS chip
#California Privacy Protection Agency | Proposition 24 | Personal car data | Information is collected while you are driving | Targeted advertising | Geolocation | In car advertising | Discrimination | Identity theft | Automakers | Insurance companies | National Safety Council
#JAKA Robotics | Graphic Programming | Set and adjust positions and tasks with ease | Drag Teaching | Moving the cobot to any position, and it will memorize it instantly | JAKA APP | Teaching the robot | Remote Monitoring | Monitor robot tasks and set alerts
#Structural color | Chameleon like, color shifting materials | Stretching a piece of film to reveal a hidden message | Checking an arm band color to gauge muscle mass | Sporting a swimsuit that changes hue as one does laps | Elastic materials that when stretched can transform their color | Printed films revealing the imprint of objects | Structural color arising as a consequence of a material microscopic structure | Robotic skin that has a human like sense of touch | Devices for things like virtual augmented reality or medical training | University of Cambridge | The Gillian Reny Stepping Strong Center for Trauma Innovation at the Brigham | Women Hospital | National Science Foundation | MIT Deshpande Center for Technological Innovation | Samsung | MIT ME MathWorks seed fund | MIT
#MassRobotics | Ori | Ikea | Boston Seaport District | Amazon | Google | Mitsubishi Electric | Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT | Cybernetix Ventures
#VARTA | Application Specific Batteries (ASB) | Energy Solutions
#GAM | Precision mechanical manufacturer of drive solutions used in automation technology | Engineering solutions for demanding environments | Robotic gearboxes | Servo-gearboxes | Precision spiral bevel gearboxes | Rack and pinion | Servo-couplings | GPL Robotic Planetary | GCL Cycloidal | GSL Strain Wave | Linear Mount Products for Cartesian Robots | Backlash <0.1 arcmin (6 arcsec) of gearbox, no adjustment necessary | Operation temperatures -40°C to 70°C (-40°F to 160°F) | 20,000 hours operational life | Torque 3500 Nm (31,000 in-lb)
#Blue Robotics | Automated Guided Vehicle
#Carling Technologies | electronic switching | electromechanical controls | electromechanical switches
#Boston Dynamics AI Institute | Artificial intelligence (AI) | Robotics | Intelligent machines | Cognitive AI | Athletic AI | Organic hardware design
#Obayashi | Denso | Road pavement designed to power electric vehicles while they drive
#Harmonic Drive | Precision servo actuators | Gearheads | Gear component sets
#Robotics Engineering | Intelligent Sensing for Object Recognition, Manipulation and Control | Design, Development and Simulation Tools for Robotics Development | Developing Intelligent Robots - Machine Learning on Edge, Cloud and Hybrid Architectures | Advanced Motion Control Solutions for Robotics Systems | Intelligent Vision and Sensing Solutions for Autonomous Mapping and Navigation | Motion Control for Healthcare Robotics Applications: Functional Requirements, Critical Capabilities
#NVIDIA | GPU Deep Learning | GPU acting as the brain of computing | Robots and self driving cars can perceive and unferstand the world | Accelerating the entire AI workflow | AI agents designed to reason, plan, and act | Conversational AI: multilingual speech and translation AI | Vision AI: multimodal real-time insights | AI factories: manufacturing intelligence at scale | Purpose-built AI factories | AI life-cycle | Humanoid robotics research and development platform | Machine Learning | Neural networks | Natural language processing | Speech recognition | Recommender systems | Biomedical image segmentation | Object detection | Image classification | Reinforcement learning
#ROS | Robot Operating System | Open source software development kit for robotics applications | Standard software platform to robotic application developers | Research | Prototyping | Deployment | Production
#Intel | Kapoho Point Board | Four Loihi 2 chips on its top side | Four on its underside | Up to a million neurons | Up to a billion synapses | Up to 8 million variables | Up to 1000× better energy efficiency than a state of the art CPU solver | Stackable up to eight boards | Expansion port on the board | Four boards getting up to 32 million neurons | Drones | Robotics | Gesture recognition | Scene understanding | Smell identification | Solving optimization problems | Research
#Cyngn | Autonomous driving software solutions
#Intel | Neuromorphic computing | Biological neural computation | New algorithmic approaches | Emulating human brain interactions | Spiking neural networks (SNNs) | Simulating natural learning | Dynamically remapping neural networks | Making decisions in response to learned patterns over time | Powering autonomous AI solutions | Supporting energy efficiency and continuous learning | Sensing | Robotics | Healthcare | Large scale AI applications
#SpaceX | Satellite to cellular service
#Elroy Air | Autonomous cargo aircraft systems| Vertical take off and landing (VTOL) cargo aircraft | Specially designed aerodynamic modular cargo pods | Commercial logistics | Disaster relief | Firefighting | Humanitarian operations | Replacing difficult ground transportation | Detachable pod | Dropping off cargo | Pickkung up ready to go cargo | Makint deliveries fast | Allowing ground crew to empty or load a pod at their leisure
#Axalta Coating Systems | Innovative, colorful, beautiful, and sustainable coatings solutions | Flame Spray on site | Electrocoat for electric vehicle (EV)
#Neste | Neste MY Renewable Diesel | Fully compatible with all diesel engines and the existing fuel distribution infrastructure
#Latitude AI | Ford | Automated driving
#Zeal Motor | FatTruck | Truck 8X8 | Amphibious vehicle | Transporting heavier payload or additional crew in the harshest terrains | Water | Climbing steep muddy hills
#Honda | Autonomous Work (AWV) Vehicle | Supporting construction related activities | Solar construction site | GPS for location | Radar and lidar for obstacle detection | Cameras for remote monitoring
#Bobcat | RogueX | Eliminating operator station | Building loader without a cab | Lithium ion battery | Electric drive system | No hydraulics
#JCB | Hydrogen combustion engine | Construction equipment | Backhoe loader | Loadall telescopic handler | Mercedes tonne truck retrofit | Mobile refuelling bowser | JCB Fastrac tractor | Got rid of NOX through selective catalytic reduction | Electric trucks have weight penalties | Refueling time less than recharging EV truck, equal to that of refueling hydrogen fuel cell tank
#PowerLight | Wireless power beaming
#Cruise | Robotax | Updated software because its robotax failed to brake quickly enough after the city bus in front of it slowed
#University of Zurich | Applying deep learning to solve different mobile robot navigation problems | Spiking neural network (SNN) architecture | Improving optical flow prediction accuracy | Pytorch | CUDA
#NIH | Deep learning-based knockoffs inference framework
#Nvidia | Autonomous vehicles developed with NVIDIA DRIVE
#AMD | Vitis AI optimization platform
#XiLinx | Optimal Artificial Intelligence Inference from Edge to Cloud AI | Supports networks from Tensorflow and Caffe | Adaptable silicon for Domain-Specific Architectures (DSAs)
#Microsoft | Deep Learning Inference Service
#IBM | Telum Processor
#github | DNN Inference Nodes for ROS/ROS2
#Texas Instruents | Sitara Machine Learning toolkit
#Tensorleap | Debugging and Explainability Platform for Deep Learning | Explore how your model interprets data | Detect root cause of failures | Fix edge cases fast | Slash the number of experiments | Pinpoint, resolve, and test all populations | Verify model to rely on right features | Identify and remove irrelevant data | Eliminate bottlenecks | Label what is needed | Identify and fix problems fast with unsupervised root cause detection | Remove irrelevant samples | Prioritize labeling | Verify and validate thousands of data populations with deep unit testing | Make informed decisions with clear documentation of the development process
#Wolfspeed | Silicon Carbide | Deliver exceptional performance in EV designs | High Power Density Bi Directional EV On-Board Charger Reference Design | Silicon Carbide MOSFETs and Schottky diodes | On board off board automotive power conversion systems | SpeedFit Design Simulator
#Marelli | Global independent suppliers to the automotive sector | Developing electronic and electro mechanical systems for two and four wheel racing vehicles | Supplying all the top teams in all the most important motorsport world championships | Collaborates with Fluid o Tech to develop new cooling pump motor unit
#May Mobility | Ouster to supply lidar sensors to May Mobility for autonomous vehicle deployments | Safely handling the unexpected | Vehicles imagining multitudes of what might happen next | Endless real-time, on-board simulation | May Mobility and Moovit expanding treach and efficiencies of shared autonomous vehicles and AV microtransit projects to mind gaps in public transit
#Rimac Automobili | Nevera EV hybercar | 0-400-0 km/h in 29.93 seconds | 0-60mph in 1.74 seconds | to 400km/h and back to 0 in less time than McLaren F1 to accelerate up to 350km/h | 300 miles on a charge | Refilling from 0-80% in less than 20 minutes | Advanced battery system, powertrain and software | All developed in-house at the Rimac Group | Front and rear powertrains – each composed of two individual motors | Power to each wheel individually | Rear, a 1MW dual inverter enables 900Nm and 470kW per motor | Entirely bespoke front powertrain is designed to deliver optimum power and control | All systems overseen by the web of in-house developed electronic control units | NVIDIA Pegasus-based supercomputer | Calculating and sending output to four powertrain systems 100 times/sec | Rimac All-Wheel Torque Vectoring 2 platform
#ADASKY | Far-infrared sensor and intelligent thermal sensing technologies for autonomous electric vehicles
#AirMatrix | Drone logistics software for autonomous operation of commercial drones
#Cyber Motor Wittenstein | Servo drive system for Automated Guided Vehicles (AGV)
#Agtonomy | Hybrid autonomy and tele-assist platform for agriculture vehicles
#Arbe Robotics | Real time 4D imaging software for autonomous driving
#TANA | Electrically powered mobile shredder
#Apex | Apex.AI agile and iterative software development kit (SDK) | ROS | Autonomous farming systems
#Lemken | Krone | Combined-powers | Design concept of autonomous process unit consisting of drive unit and various implements
#Hentschel System | Hardware and software in measurement technology | Unmanned vehicles | Hawe Hydraulik | Rovo robot platform
#Kubota | Autonomous tractor platform | Farm Management Information System (FMIS) | Real-time monitoring of the tractor | Tractor incorporates sonar and scanner technology, plus optical recognition systems, enabling it to detect stationary or moving obstacles or people at any distance
#AGCO Power | Valtra T235D tractor | 74 LFTN diesel engine | E-diesel | Paraffinic E-fuel | Synthetic hydrocarbon | Drop-in paraffinic diesel | Electrofuel from green hydrogen and carbon dioxide | Combining high-temperature electrolysis, carbon capture and Fischer-Tropsch hydrocarbon synthesis to develop electrofuel production for commercial and industrial scale | High-temperature electrolysis | Carbon capture | Fischer-Tropsch hydrocarbon synthesis | Develing e-diesel for vehicles difficult to electrify
#Advanced Navigation | Inertial measurement unit (IMU) | Heading reference system (AHRS) | Acoustic navigation | AI-based acoustic processing techniques | Subsea transponder | Sidney, Australia
#Austal (ASX:ASB) | Patrol Boat Autonomy Trial (PBAT) | Self-guided Maritime and Remote Technology | Autonomous vessel technology
#John Deere | Autonomous Tractor | SATCOM system | Satellite internet service | Ruggedized satellite terminal | Autonomy | Real-time data sharing | Remote diagnostics | Enhanced self-repair system | Machine-to-machine communication | 4G LTE JDLink modem | John Deere Operations Center | Precision agriculture technology | Brazil | SpaceX | SparkAI | Tractors get extra help when faced with difficult situations, such as dust, rain, or snow | Automatically calling SparkAI service | Passing imagery and other metadata via REST application programming interface (API)
#Kalmar (Cargotec) | Forterra | Developing autonomous terminal tractor solutions
#OndoSense | Radar distance sensor | Sensor software: integrated into control system or used for independent quality monitoring | Object detection | Distance measurement | Position control | Agriculture: reliable height control of the field sprayer | Mining industry | Transport & Logistics | Shipping & Offshore | Mechanical and plant engineering | Metal and steel industry | Energy sector | Harsh industrial environments | Dust & smoke: no influence | Rain & snow: no influence | Radar frequency: 122GHz | Opening angle: ±3° | Measuring range: 0.3 – 40 m | Measuring rate: up to 100Hz | Output rate: up to 10 ms / 100 Hz | Measurement accuracy; up to ±1mm | Measurement precision: ±1mm | Communication protocol: RS485; Profinet, other interfaces via gateway | Switching output: 3x push-pull (PNP/NPN) | Analogue output: Current interface (4 – 20 mA) | Protection class: IP67
#Intelsat | CNH (NYSE: CNHI) collaboration | Providing farmers ubiquitous access to internet via ruggedized satellite communications (SATCOM) service | Connecting CNH equipment working in remote locations | Offering gains in productivity and yield through precision agriculture
#Navy Research Laboratory (NRL) | Laboratory for Autonomous Systems Research (LASR) | Prototyping High Bay | Littoral High Bay | Desert High Bay | Tropical High Bay
#SiLC | LR Eyeonic Vision System | Optimized for ranges up to 300 meters | Instantaneous velocity for rapid detection, classification and prediction of dynamic objects
#Flyability | Drones for industrial inspection and analysis | Confined space inspection | Collision and crash resistant inspection drone | 3D mapping | Volumetric measurement | Inspections of cargo ships, bridges, ports, steel mills cement factories, liquid gas tanks, nuclear facilities, city wide underground sewage systems | Ouster lidar
#Google DeepMind Technologies Limited | Creating advanced AI models and applications | Artificial intelligence systems ALOHA Unleashed and DemoStart | Helping robots perform complex tasks that require dexterous movement | Two-armed manipulation tasks | Simulations to improve real-world performance on multi-fingered robotic hand | Helping robots learn from human demonstrations | Translating images to action | High level of dexterity in bi-arm manipulation | Robot has two hands that can be teleoperated for training and data-collection | Allowing robots to learn how to perform new tasks with fewer demonstrations | Collectung demonstration data by remotely operating robot behavior | Applying diffusion method | Predicting robot actions from random noise | Helpung robot learn from data | Collaborating with DemoStart | DemoStart is helping new robots acquire dexterous behaviors in simulation | Google collaborating with Shadow Robot
#Movu Robotics | Robotics | Automated pallet storage solution | Accessible cold storage automation | Temperature-controlled food and pharmaceutical industry | Space optimisation in storage | Streamlined materials handling process | Energy efficiency for cold storage | Robotics for low temperatures with icy and slippery surfaces | Automated Storage and Retrieval System (AS/RS) | Automating picking | Fleet management software
#Neptune Labs | neptune.ai | Tracking foundation model training | Model training | Reproducing experiments | Rolling back to the last working stage of model | Transferring models across domains and teams | Monitoring parallel training jobs | Tracking jobs operating on different compute clusters | Rapidly identifying and resolving model training issues | Workflow set up to handle the most common model training scenarios | Tool to organize deep learning experiments
#SIMa.ai | Platform for edge AI | Enabling edge-ML application-pipeline acceleration on single chip | MLSoC accelerates deep learning workloads | ModelSDK forvmodel loading, quantization and compilation in Python | Python APIs and VSCode remote execution for rapid application development and prototyping | GStreamer plugins enabling high-performance video processing pipelines | ML Pipeline Package for application deployment
#Tesla | Self-driving taxi | Self-driving van
#Tampere University | Pneumatic touchpad | Soft touchpad sensing force, area and location of contact without electricity | Device utilises pneumatic channels | Can be used in environments such as MRI machines | Soft robots | Rehabilitation aids | Touchpad does not need electricity | It uses pneumatic channels embedded in the device for detection | Made entirely of soft silicone | 32 channels that adapt to touch | Precise enough to recognise handwritten letters | Recognizes multiple simultaneous touches | Ideal for use in devices such as MRI machines | If cancer tumours are found during MRI scan, pneumatic robot can take biopsy while patient is being scanned | Pneumatic device can be used in strong radiation or conditions where even small spark of electricity would cause serious hazard
#Canon | Micro stepping motors ranging from Φ 5 mm to 6 mm | DC micro motors with gears, pinions, encoders, and lead wires already attached | Brushless servomotors | Ultra sonic piezo motor | Frameless motors | Optoelectronic Components | 3D Machine Vision System
#Mecademic Robotics | Six-axis industrial robot arm | Robot arms built entirely from aluminum | Control by Python | SCARA robot achieves position repeatability of 0.005 mm, enabling to automate even the most intricate tasks and elevate product quality | Montreal | Canada | Maxon micromotors | Microautomation solutions | Microautomation cell | Automated medical device assembly process
#Allen Institute for Artifical Intelligence | Robot planning precise action points to perform tasks accurately and reliably | Vision Language Model (VLM) controlling robot behavior | Introducing automatic synthetic data generation pipeline | Instruction-tuning VLM to robotic domains and needs | Predicting image keypoint affordances given language instructions | RGB image rendered from procedurally generated 3D scene | Computing spatial relations from camera perspective | Generating affordances by sampling points within object masks and object-surface intersections | Instruction-point pairs fine-tune language model | RoboPoint predicts 2D action points from image and instruction, which are projected into 3D using depth map | Robot navigates to these 3D targets with motion planner | Combining object and space reference data with VQA and object detection data | Leveraging spatial reasoning, object detection, and affordance prediction from diverse sources | Enabling to generalize combinatorially.| Synthetic dataset used to teach RoboPoint relational object reference and free space reference | Red and ground boxes as visual prompts to indicate reference objects | Cyan dots as visualized ground truth | NVIDIA | | Universidad Catolica San Pablo | University of Washington
#NXP | EasyEVSE development platform for electric vehicle (EV) charging stations | Wireless connectivity | Device-to-cloud communication | Accurate energy billing | One-tap NFC authentication | ISO 15118 via the power line communication through the HomePlug Green PHY
#Astera Labs | Intelligent Connectivity Platform | High-speed connectivity integrated circuits (ICs), modules, boards | Connectivity System Management and Optimization Software | Providing hyperscaler customers ability to deploy and operate high-performance AI and cloud infrastructure | Software-defined IC architecture | Distributed microcontrollers and sensors | Real-time link and device monitoring | Smart Fabric Switches | PCIe 6 fabric switch | Delivering maximum predictable performance to increase GPU utilization | Protocol and performance optimization for increased data transfer efficiency | Real-time telemetry data | Built-in protocol analyzer with link state history and timestamps | Full non-destructive eye scan for RX Lane margining | Self-test features to minimize link downtime and accelerate fault isolation | AI scale-up (GPU-to-GPU) | AI clusters | Generative AI applications | Nvidia supplier
#Bishop-Wisecarver | 8th Axis vertical extendibility solutions for to increase reach for small robots and cobots | Vertical movement with travel lengths up to 4 meters | Expanding working envelope for large-scale tasks like painting, sandblasting, and pressure washing | Single robot in place of several larger robots | Actuated linear guide system | Rotary motion guides | Rotary actuators | Customized rotary motion solutions to follow virtually any path | DualVee Motion Technology | DualVee-Single-Edge-Track | DualVee-Journals | Guide wheel components | Linear guide wheel | Track lubricator assemblies | HepcoMotion aluminum profile sections | HDRT track systems combine ring segments and straight slides to follow virtually any path | HepcoMotion PRT2 (Precision Ring and Track), DTS (Driven Track System), and HDRT (Heavy Duty Ring and Track) product lines | HDS2 Heavy Duty Slide System | Precision linear guide components utilizing guide wheel and roller wheel technology
#Open Ocean Robotics | Software for vessel detection | Dark vessel detections
#VORAGO | Radiation hardened and radiation tolerant microcontrollers and microprocessors | High-volume manufacturing to harden commercially designed semiconductor component | Empowers mission success | Radiation-hardened ICs that excel in extreme environments | ARM | Texas Instruments | Brainchip | Custom hardware and firmware solutions tailored to withstand extreme environments | Ensuring that mission-critical components remain resilient | Custom solutions, armed with space-grade electronics and an ARM Cortex microcontrollers | International Space Station: dies measuring the effects of protons and cosmic rays | Satelites: devices utilized in Department of Defense Space Test Program (STP) missions | CubeSats: ARM microvontroller | Semiconductor components and solutions for extreme temperature environments up to +200°C
#NavVis | Point cloud processing workflow | Surveying | Laser scanning | Process laser scan data captured using NavVis technology from anywhere with internet connection | View and validate every control point | Ensure data privacy with fully automated and integrated blurring functionality | Point cloud presets | Environment-specific point cloud modes | Generate photorealistic point clouds automatically cleaned of dynamic objects while preserving original details and colors | Upload your geo-referenced control points file in global coordinate system | Automatically geo-register your point cloud | View control points exact location on quality map | Locate, verify, select/deselect control points to identify any potential errors before processing begins | Automated image anonymization process | Detecting and blurring individuals’ faces, bodies, and license plates in images and point clouds captured with NavVis devices | Confidently create and share projects that meet strict data confidentiality | Meet compliance standards, including GDPR requirements | Download comprehensive quality report | Detailed information on data accuracy
#Robotics & AI Institute | Collaborates with Boston Dynamics | Developed jointly Reinforcement Learning Researcher Kit for Spot quadruped robot | Developing sim-to-real for mobility | Transferring simulation results to real robotic hardware | Bridging sim-to-reality gap | Training policies generating a variety of agile behavior on physical hardware | Trying to achieve novel, robust, and practical locomotion behavior | Improving whole body loco-manipulation | Developing robot capability to manipulate objects and fixtures, such as doors and levers, in conjunction with locomotion significantly enhancing its utility | Exploring new policies to improve robustness in scenarios | Exploring full-body contact strategies | Exploring high-performance, whole-body locomotion and tasks that require full-body contact strategies, such as dynamic running and full-body manipulation of heavy objects, necessitating close coordination between arms and legs | Aiming to utilize reinforcement learning to generate behavior during complex contact events without imposing strict requirements | Develop technology that enables future generations of intelligent machines | Streamlining processes for robots to achieve new skills | Developing perception, situational understanding, reasoning, cognitive functions underpinning robot abilities and combining them with advances in their physical capabilities | Conducting research in four core areas: cognitive AI, athletic AI, organic hardware design, and ethics related to robotics
#UC Berkeley, CA, USA | Professor Trevor Darrell | Advancing machine intelligence | Methods for training vision models | Enabling robots to determine appropriate actions in novel situations | Approaches to make VLMs smaller and more efficient while retaining accuracy | How LLMs can be used as visual reasoning coordinators, overseeing the use of multiple task-specific models | Utilizing visual intelligence at home while preserving privacy | Focused on advancements in object detection, semantic segmentation and feature extraction techniques | Researched advanced unsupervised learning techniques and adaptive models | Researched cross-modal methods that integrate various data types | Advised SafelyYou, Nexar, SuperAnnotate. Pinterest, Tyzx, IQ Engines, Koozoo, BotSquare/Flutter, MetaMind, Trendage, Center Stage, KiwiBot, WaveOne, DeepScale, Grabango | Co-founder and President of Prompt AI
#Milestone Aviation | AerCap subsidiary | Helicopters from Airbus, Bell, Leonardo, Sikorsky | Mission configuration for oil and gas, search and rescue, emergency medical services, aerial firefighting | Lease agreements with UNI-FLY for three Leonardo AW169 helicopter | Developing S-92A fire fighting capability in collaboration with Helitak
#Trossen Robotics | Pi Zero (π0) | Open-source vision-language-action model | Designed for general robotic control | Zero-shot learning | Dexterous manipulation | Aloha Kit | Single policy capable of controlling multiple types of robots without retraining | Generalist robotic learning | Pi Zero was trained on diverse robots | Pi Zero was transferred seamlessly to bimanual Aloha platform | Pi Zero executed actions in a zero-shot setting without additional fine-tuning | Pi Zero run on standard computational resources | Hardware: 12th Gen Intel(R) Core(TM) i9-12950HX | NVIDIA RTX A4500 16G | RAM 64G | OS: Ubuntu 22.04 | Dependencies: PyTorch, CUDA, Docker | PaliGemma | Pre-trained Vision-Language Model (VLM) | PaliGemma allows Pi Zero to understand scenes and follow natural language instructions | Image Encoding: Vision Transformer (ViT) to process robot camera feeds | Text Encoding: Converts natural language commands into numerical representation | Fusion: Aligns image features and text embeddings, helping model determine which objects are relevant to task | Pi Zero learns smooth motion trajectories using Flow Matching | Pi Zero learns a velocity field to model how actions should evolve over time | Pi Zero generates entire sequences of movement | Pi Zero predicts multiple future actions in one go | Pi Zero executes actions in chunks | ROS Robot Arms | Aloha Solo package | Intel RealSense cameras | Compact tripod mount | Tripod overhead camera | Ubuntu 22.04 LTS
#Caterpillar | Cat 775 | Off-highway truck | MineStar Command for hauling | 360-degree surround cameras with object detection | Cat Detect radar system | Frame design reducing empty weight delivering | Redesigned suspension for lower centre of gravity | Electronic powertrain controls | Automatically detecting hazards within critical areas around truck | Ability to access and analyse accurate real-time data from truck | Access to the latest software updates | Truck software updates scheduled and executed at a time that does not interrupt the production schedule | Remote Troubleshoot enabling dealer to perform diagnostics remotely while truck is still in operation
#MemryX | AI Accelerator Module | Install system software, MemryX SDK, MemryX board | Compile AI model(s) making executable file | Send data & receive results using APIs for AI processing | Up to 6 TFLOPs (1GHz) per chip | Up to 16-chips (96 TOPS/TFLOPs) can be interconnected | Activations: bfloat16 (high accuracy) | Weights: 4 / 8 / 16 bit | Batch = 1 | 10.5M 8-bit parameters (weights) per chip | PCIe Gen 3 I/O | USB 3 interface | 0.6-2W per chip av power | Smart compiler: optimized and automated AI mapping to MemryX hardware | Powerful APIs: Python and C/C++ low and mid-level APIs for AI integration | Runtime: driver and firmware to support Windows or Linux distributions | Bit Accurate simulator: accurately testing models even without MemryX hardware
#AST Space Mobile | AST n Science | Building space based cellular broadband network to be accessible by standard smartphones | 4G/5G connectivity everywhere on the planet | Automatic roaming from land networks to a space network | Connectivity anywhere without having to invest in expensive, specialized hardware
#NVidia | Dexterous robot development | Manipulating objects with precision, adaptability, and efficiency | Fine motor control, coordination, ability to handle a wide range of tasks, often in unstructured environments | Key aspects of robot dexterity include grip, manipulation, tactile sensitivity, agility, and coordination | Robot dexterity development for manufacturing, healthcare, logistics | Dexterity enabling automation in tasks that traditionally require human-like precision
#e-con Systems | Camera solutions for NVIDIA platforms | Full HD Global Shutter Camera for Jetson AGX Orin | Jetson AGX Orin: 64GB module, 275 TOPS with power configurable 15W and 60W | Multiple 4k ultra-lowlight camera for NVIDIA Jetson AGX Orin | Global shutter | Rolling shutter | Autofocus and fixed focus | High resolution and frame rate | High dynamic range | High sensitivity in both visible and NIR regions | Superior color reproduction | MIPI and GMSL2 interfaces | Camera SDK configured to support Isaac SDK | Multi-camera support | NVIDIA Isaac GEMs ROS: GPU-accelerated packages for ROS2 application | Isaac ROS GEMs help to assess camera position with regard to its starting point | Isaac ROS GEMs empower robotic applications to maneuver and navigate through complicated environments | Installing ROS 2 requires Ubuntu 20.04 | Board cameras | USB 3.0 cameras | Autonomous mobile robots, autonomous shopping
#United States Army Corps of Engineers (USACE) | Los-Angeles-County-Wildfire-Debris-Removal-Mission | 08 May 2025 status |13,579 parcels eligible for cleanup | 3,987 ROEs accepted from LA county | 3,987 in progress with contractors | 1,786 lots finalized | > 100 crews active | > 50 lots cleared daily | > 657,500 tons debris removed | 12% complete mission
#Riviera Country Club in Pacific Palisades | Golf tournaments for 2028 Los Angeles Olympics | Pledged $1 million to aid recovery efforts in Pacific Palisades | Donation directed through California Community Foundation | Noboru Watanabe, Riviera Country Club chairman | Megan Watanabe, Riviera Country Club CEO | Focus on rebuilding and supporting Councilwoman Traci Park | Genesis Invitational tournament expected to return 2026 | U.S. Women Open 2026 | Olympics 2028 | U.S. Open 2031
#International Golf Federation | Golf competitions will be held in the exclusive Riviera Country Clubin Pacific Palisades
##Paralympic Games 2028
#LA28 Olympic Games
#LA28 Games Plan
#LA28 Partners
#International Olympic Committee (IOC)
#Paralympic
#ESA | Proba-3 mission | Two spacecraft in orbit aligned in formation with millimetre precision | Maintained their relative position for several hours without any control from the ground | ESA General Support Technology Programme (GSTP) | Formation flying performed when spacecrafts are more than 50 000 km above Earth | Earth gravity pull is small enough, so that very little propellant is needed to maintain formation | Goal is two spacecraft aligned with the Sun so that 1.4-m large disc carried by Occulter casts 5-cm shadow onto optical instrument on Coronagraph, allowing it to studyfaint solar corona | On-board laser instrument calibrated
#Royal Observatory of Belgium | Proba-3 mission led by ESA
#European Space Security and Education Centre (ESEC) | Proba-3 mission led by ESA
#Sener | Proba-3 mission led by ESA
#GMV | Proba-3 mission led by ESA
#Airbus, Spain | Proba-3 mission led by ESA
#Redwire Space | Proba-3 mission led by ESA
#SpaceBel | Proba-3 mission led by ESA
#CSL | Proba-3 mission led by ESA
#NASA Goddard Space Flight Center in Greenbelt, Maryland | PACE mission | Ocean Color Instrument | Detecting more than 280 wavelengths of light | Finer detail | Better insights into ocean color and type of plankton satellite can spot | Dramatic improvements in the detection of zooplankton and phytoplankton | Captured swirling green phytoplankton blooms in Gulf of Maine in April 2024 | Such blooms fuel zooplankton like Calanus finmarchicus | Detecting better copepod Calanus finmarchicus in Gulf of Maine and estimating their numbers from space
#Viasat | Arctic Satellite Broadband Mission (ASBM) | Mission led by Space Norway subsidiary Heosat |.ASBM-1 and ASBM-2 sstellites host GX10A and GX10B Ka-band payloads | Arctic has rapidly growing connectivity demand | Broadband to civilian, government and military users in Arctic | Viasat expanding its broadband capacity with five Ka-band satellites under construction
#Space Norway | ASBM satellites launched by Viasat major step closer to providing broadband to civilian, government and military users in Arctic
#Bell Flight | Subaru Bell 412EPX | Fighting fires | Conducting search-and-rescue operations | Transporting VIPs | Designed to meet demands of modern missions | Modern glass cockpit | Two Primary Flight Displays (PFDs) | Two Multi-Function Displays (MFDs) | Critical flight and system information into a single, easy-to-read interface | Intuitive color coding | Avionics system: system schematics, weight and balance calculations, programmable checklists | Dual Nav/Com/GPS systems | Seamless flight planning, with optional Bluetooth integration for off-aircraft planning uploads | Optional 4-axis autopilot for fully coupled approaches | Enhanced hover modes | Pratt & Whitney PT6T-9 engine | Dual-channel FADEC | Carrying more water on site for firefighting
#uWare Robotics | Autonomous underwater vehicles (AUVs)
#SubC Imaging | Integrated cameras, software, and remote solutions for deep-sea research
#Kongsberg Defence & Aerospace (KDA) | Surveillance of vessels in the Arctic Regions of Norway (NAVAREA XIX) | Investing to space industry
#Norwegian Institute of Marine Research | Arctic Sea research
#Norwegian Polar Institute | Icebreaking research vessel Kronprins Haakon | Arctic Sea research
#Untether AI | Accelerating AI inference | PCI-Express form factor and power envelope | Over 2 PetaOps per card | Accelerator card | AI chip | Intel backef | Toronto, Canada
#SailDrone | Ocean Data Solutions with Autonomous Surface Vehicles
#OLogic | Robotics | Pumpkin Pi i350 EVK | Edge AI platform | Designed for mainstream AI + IoT applications | Vision and voice edge processing | Facial, object, gesture, motion recognition | LPR, voice activation and speed recognition | Sound isolation, bio-tech and biometric measurements
#Blue Atlas Robotics | Self-operating service robot that performs underwater surveys | Shared data platform collecting data from selected Nordic vendors of airborne and subsea drone systems | Sentinus 2 robot live-streamed high-quality underwater data during subsea surveillance operation using 5G in controller unit | Smultaneous aerial streams, enabling comprehensive surveillance solution that covered both above and below water | With minimal equipment, mission preparation becomes effortless, offering greater flexibility | Vision-lock to target for efficient mission ensuring the best quality of data | Point clouds | 3D models | Underwater assets managrment | Visual inspection outputs for vessel bottoms | In-water propeller inspections | Sea chest inspections | Inspecting bow thrusters
#Weebitnano | AI inference is shifting from cloud to edge devices like phones and cars | Weebit ReRAM shaping up as memory tech that could quietly power billions of them | Artificial intelligence noot just living in cloud, it lives at edge | AI traiking happens in massive data centres, where models learn from huge datasets | AI inference happens on edge devices like smartphones, smartwatches, autonomous cars, drones, factory sensors, and wearables – right where action is | Shift to edge happening because latency, power, privacy, and bandwidth all matter | You can not afford 300-mis delay when your autonomous car needs to spot pedestrian | Edge inference is juggernaut in motion | Flash memory can not scale below 28nm when embedded | Most AI applications already require smaller geometries | Weebit Nano (ASX:WBT) Resistive RAM (ReRAM) technology comes into picture | ReRAM is non-volatile memory (NVM) that stores data faster, uses less power and offers stronger security than Flash | ReRAM can scale to the most advanced semiconductor manufacturing processes | NVM memory retains data even when power is switched off | ReRAM is less vulnerable to tampering, better suited for storing AI model weights, and easier to embed right onto the same chip as processor | Gesture recognition system developed with EMASS | Weights for detection model are stored in ReRAM for processor | South Korea DB HiTek | US semiconductor company onsemi
#OnLogic | Industrual computers | Edge AI hardware
#Indian Space Research Organisation (ISRO) | Advanced radar system | Dynamic, three-dimensional view of Earth | NASA-ISRO Synthetic Aperture Radar satellite | Detecting land and ice surfaces movement down to centimeter | Mission will help protect communities | Actionable information to disaster response | ISRO Geosynchronous Satellite Launch Vehicle (GSLV) rocket | 464 miles (747 kilometers) above Earth | GSLV first mission to Sun-synchronous polar orbit | Two radar instruments: L-band system and S-band system | Monitoring planet land- and ice-covered surfaces twice every 12 days, including polar Southern Hemisphere | Helping researchers assess how forests, wetlands, agricultural areas, and permafrost change over time | Seeing through clouds | Monitoring planet surface during storms, in darkness and light | 39-foot (12-meter) radar antenna reflector | Mission managed by Caltech | NASA JPL leads U.S. component of project providing mission L-band SAR | NASA provides radar reflector antenna, deployable boom, high-rate communication subsystem for science data, GPS receivers, solid-state recorder, and payload data subsystem | ISRO provides mission S-band SAR instrument and calibrates, processes data , develops science algorithms | U R Rao Satellite Centre in Bengaluru leads ISRO components and provides spacecraft bus | Launch vehicle by ISRO Vikram Sarabhai Space Centre | Launch services by ISRO Satish Dhawan Space Centre | Satellite operations by ISRO Telemetry Tracking and Command Network | National Remote Sensing Centre in Hyderabad is responsible for S-band data reception, operational products generation, and dissemination
#DiffuseDrive | Realistic data to autonomous systems | AI-generated data indistinguishable from real life | Generating suggestions based on business logic | Quality assurance [QA] layer built on application or use case | Statistical analysis to contextually understand data and build out data points | Building decision trees | Generating wider distribution of data | Augmenting client AI systems | Semantic segmentation, contextual and visual labeling, 2D and 3D bounding boxes to client basuc data | Finding data caps | Filling data caps with AI generated photorealistic imagery and advanced annotation | Experience with cars and drones | Targeting companies producing not only autonomous systems and industrial robots | Creating data engines
#Hexagon | AEON humanoud | Dexterous hands | Multimodal sensor suite | Mission control system | Top speed: 2.4m/s | Weight: 60kg | Height: 165cm | Battery: Auto-swap | Payload: 15 kg short-term, 8 kg constant carry | Degrees of freedom: 34
#NVIDIA DRIVE AGX Thor developer kit | Enabling the development of safer, smarter autonomous vehicles and transportation solutions | Autonomous vehicle systems rapidly grow in complexity, equipped with reasoning vision language action models, generative AI and advanced sensor technologies | Platform accelerates the design, testing and deployment of AVs and intelligent mobility solutions | Built on NVIDIA Blackwell architecture, next-generation Arm Neoverse V3AE CPUs and NVIDIA DriveOS 7 software stack | Purpose-built for reasoning vision language action models | Ideal for automotive development | Sufficient I/O to support surround cameras, radars and lidars, common vehicle interfaces including GbE/10GbE and PCI-Express | Meets automotive industry stringent functional safety (ISO 26262) and cybersecurity requirements (ISO 21434) | Automotive companies: are building BYD, GAC, IM Motors, Li Auto, Volvo Cars, Xiaomi, Zeekr | Autonomous trucking companies: Aurora, Gatik, PlusAI, Waabi | NVIDIA AV partners: DeepRoute.ai, Nuro, WeRide, ZYT | Tier 1 suppliers: Continental Automotive, Desay SV, Lenovo, Magna, Quanta | Technology pioneers: AdaCore, Lauterbach, OMNIVISION, QNX, Vector | Three computers: NVIDIA DGX for AI training, NVIDIA Omniverse and NVIDIA Cosmos running on NVIDIA OVX for simulation, and NVIDIA DRIVE AGX for deployment
#Copernicus | EU Space Programme | Sentinel-1C and 1D satellites equipped with Galileo-enabled receivers | More accurate in-orbit positioning | Payload Automatic Identification System (AIS) | Detecting signals from ships | Supporting maritime domain awareness | Detection of unauthorised activities at sea | Sentinel-1 radar sensor makes it possible to track changes to land, oceans, and ice regardless of cloud cover or darkness | Uninterrupted radar data provision to end users worldwide | Sentinel-1 satellites are equipped with C-band Synthetic Aperture Radar (SAR) instrument seeing through clouds, rain, and smoke | Providing all-weather, day-and-night observations of Earth surface | Radar instrument has wide swath collecting data on both ascending and descending passes | Satellites are equipped with Galileo-enabled receivers | Data from Sentinel-1 satellites flows directly into Copernicus Services | Copernicus Emergency Management Service (CEMS) for flood mapping | Copernicus Maritime Surveillance (CMS) Service for oil spill and vessel detection | Copernicus Marine Service (CMEMS) for monitoring icebergs and sea ice concentration to support safe navigation | Copernicus Land Monitoring Service (CLMS) for vegetation, forest, and agricultural monitoring | European Ground Motion Service (EGMS), part of CLMS, detect and track ground motion from subsidence, landslides, volcanic activity and earthquakes | Copernicus operational information is widely accessible to public authorities, industry, researchers and service providers, who can build further applications on top of the core Copernicus products and data | Sentinel-1 is the only satellite mission in the world which provides data on a full, free and open basis | Sentinel-1 is not isolated satellite mission but part of Copernicus | Sentinel-2 will deliver high-resolution multispectral imagery | Sentinel-3 will carry a suite radiometer for sea and land surface temperature (SLSTR), a radar altimeter (SRAL) | Sentinel-5 will be equipped with Tropospheric Monitoring Instrument (TROPOMI)
#ESA Climate Change Initiative (CCI) | Laboratory of Physical and Spatial Oceanography in France | Satellites revealing the power of ocean swell | Ocean swells act as storm messengers | Swell can travel vast distances and bring destructive energy to distant coastlines | The greatest threat to coastlines often does not come from the storm itself, but from the long swells that carry wave energy far beyond the storm reach | French–US SWOT satellite dsta | Data from satellites such as SARAL, Jason-3, Copernicus Sentinel-3A and -3B, Copernicus Sentinel-6 Michael Freilich, CryoSat and CFOSAT | Observations to validate numerical wave models in extreme conditions, correcting existing wave energy calculations | Helping to protect coastal communities and marine infrastructure as climate patterns shift | Discovered more energy than expected is actually concentrated in dominant storm waves, rather than being distributed among the longest waves | Next step is to link the findings to climate change | Theory test done with modelling | SWOT combines traditional radar altimetry with wide-swath imaging to measure swell height, length and direction | Captureing swells as low as 3 cm | Revealing wavelengths of up to 1400 m | Very long swells carry less energy than assumed | More energy concentrates in the dominant peak waves | Data from the Copernicus Sentinel-6 mission were used in the study | Sentinel-6 mission measures significant wave height and wind speed, data that are used for near-realtime ocean forecasting
#SFA Oxford | Research | Critical minerals in Artificial Intelligence
#Export-Import Bank of the United States | The official export credit agency of the United States | Supporting American job creation, prosperity and security through exporting | Issuing letters of interest for over $2.2 billion in financing for critical mineral projects | Supply Chain Resiliency Initiative (SCRI) to help secure supply chains of critical minerals and rare earth elements for U.S. businesses | Maintaining access to critical materials to secure U.S. jobs in sectors like battery, automobile, and semiconductor manufacturing | SCRI provides financing for international projects with signed long-term off-take contracts with U.S. companies, providing these U.S. companies with access to critical minerals from partner countries | SCRI: EXIM financing is tied to import authority and the financed amount depends on the amount of the off-take contract between the foreign project and the U.S. importer | Off-take agreements ensure that EXIM financing for critical minerals projects benefits American companies and workers | For U.S. domestic production in critical minerals and rare earth elements, EXIM can provide financing through Make More in America Initiative (MMIA) | SCRI: project must have signed off-take contracts that will result in the critical minerals and rare earth elements output being utilized in the United States, for products that are manufactured in the United States
#RocketDNA | Broad Area Beyond Visual Line of Sight (BVLOS) Self-Assessment Trial | Groundbreaking self-assessment capability gained | Faster Drone-in-a-Box deployments | The first commercial operator approved under CASA new self-assessment trial | Capability to self-assess and commence operations within days | Enterprises operating across multiple sites - particularly in mining, agriculture, and industrial sectors - new projects can start faster, site expansions supported immediately, autonomous drone benefits realised quicker | RocketDNA operated BVLOS missions from Remote Operations Centre (ROC) since 2022 | Developed robust safety management systems | Refined operational procedures through thousands of flights | Built deep expertise in risk assessment and mitigation | Established proven track records with the regulator | Operating safely around active industrial sites and infrastructure | Navigating overlapping safety frameworks (aviation, mining, workplace safety) | Working seamlessly with existing site operations and security protocols | Meeting the uptime and performance standards enterprise customers demand | Deployment and installation at client site | Remote operations from certified Operations Centre | Maintenance and compliance for all equipment | Data processing and delivery in preferred formats | Drone capability can move with operational priorities, not lag weeks behind them | Ability to quickly deploy drone to new locations | Running comparative trials across different sites | Autonomous drones can handle mine stock pile flights automatically on a set schedule | Volume calculations and 3D models are ready within hours | Automated flight patterns give consistent image overlap and quality. | Better data for planning | Fewer surprises at end of month | Docked drone systems sit in weatherproof unit that houses drone and its charging and communications systems | Base station arrives on site pre-mounted on a skid to make installation simple | Off-grid power options like hybrid solar, battery, and diesel | When scheduled or triggered manually, roof slides open, drone takes off, flies a pre-set route, and returns to recharge | Data uploads automatically, streaming live to team via Starlink, LTE/5G, or site network | SurveyBot start from around $50–60k | Rio Tinto Gudai-Darri mine designed around autonomous haulage and remote operating centres | Mine planning, drill and blast, environmental, and geotechnical teams all needed regular surveys and imagery to support their work | Autonomous haulage fleet is running continuously | Reducing the number of manual vehicle movements into the pit | Giving multiple departments faster access to survey imagery and data | Freeing surveyors from routine flying | With more than 190 square kilometres of mine to cover | Automating routine missions with docked drone system, but retaining manual flights for specialised jobs | Satellite connections with Starlink meant system could be brought online with a simple antenna
#Omega | Official Timing Partner of the U.S. Olympic Team | Since 1932 brought its renowned precision, expertise, and technical innovation to Olympic Games, separating the margins between gold, silver, and bronze, and serving each athlete during their career-defining moments
#CGI Motion | Motion control products | Precision components | Sub-assemblies | Turn-keying concept from prototype stage all the way through to full production | Vertically integrated manufacturing facility | Solidworks with FE analysis | AutoCad | CAD/CAM | Visual Manufacturing with ERP inventory management and CMM technology | Customers: aerospace, assembly, automotive, coordinate measuring, machine tool, material handling, medical, packaging, pharmaceutical, robotics, semi-conductor, special machinery, telecommunications | 3400 Arrowhead Dr. Carson City, NV 8970
#John Deere | Deere Reports Net Income of $1.065 Billion for Fourth Quarter, $5.027 Billion for Fiscal Year | $3.93 per share | Outlook for small ag and construction and forestry improves | Worldwide net sales and revenues increased 11%, to $12.394 billion, for the fourth quarter of 2025 | Diverse customer segments and geographies | Continued commitment to delivering customer value | Focusing on operational efficiency | Remaining resilient | Demonstratung the strength of business | Commitment to inventory management and cost control | Expectung growth in small agriculture & turf and construction & forestry | Mowers | Tractors | Utility vehicles | Electric Equipment
#NASA | Next-generation drone flight software | Testing concept for exploring the Red Planet | Team from NASA Jet Propulsion Laboratory in Southern California | Research drones | California Death Valley National Park and Mojave Desert |.Extended Robust Aerial Autonomy | Flying over challenging areas like sand dunes | Different camera filters help drones track ground | New algorithms can guide drones to safely land in cluttered terrain
#LangChain | Platform helps teams deploy, scale, and manage AI agents | Native GitHub integration | Debugging and iterating faster visualizing agent trajectories and experimenting on the fly with LangGraph Studio, the agent IDE | Managing agents across teams | Generative AI ecosystem | Comparison View | Hotkeys in Annotation Queue | Tools to evaluate response quality: correctness | Pinecone | Specialized agents work better than bloated generalists | Shift toward multi-agent ecosystems designed for specific workflows
#Cerebras | AI inference and training platform | Specialized AI chips | Wafer-scale engine (WSE) | 900,000 cores deliver high levels of parallelism required to train large-scale models faster and more efficiently | On-chip memory integration provides high-bandwidth access to data | Processing speeds exceeding 2,500 tokens per second | Real-time processing capabilities for autonomous systems, vehicles, devices
#Micron | Industry-leading memory and storage solutions that accelerate AI revolution
#Paralympics | Blind Football (Soccer) | Boccia | Goalball | Para Archery | Para Athletics | Para Badminton | Para Canoe | Para Climbing | Para Cycling Road | Para Cycling Track | Para Equestrian | Para Judo | Para Powerlifting | Para Rowing | Para Swimming | Para Table Tennis | Para Taekwondo | Para Triathlon | Shooting Para Sport | Sitting Volleyball | Wheelchair Basketball | Wheelchair Fencing | Wheelchair Rugby | Wheelchair Tennis
#Star Cloud | Building space-based data centres | In dawn-dusk sun-synchronous orbit (SSO) data centre can leverage continuous, high-intensity solar power, unhindered by night-time, weather, or atmospheric attenuation | Orbital solar arrays achieving capacity factor of greater than 95% | Deep vacuum of space serves as gigantic, cold heatsink with effective ambient temperature of around -270 Celsius.| Orbital data centres can be linearly scaled almost indefinitely through modular design, assembled in 3D architecture for ultra-low latency within cluster | Modular compute containers with liquid-cooling and power-distribution infrastructure | Containers dock to central spine that provides network, power and cooling connectivity. | Energy comes from expansive, thin-film solar arrays | Waste heat is dissipated via large, passive radiators pointing toward deep space | For high-throughput AI training workloads, data uplinks and downlinks laser-based (optical) communications with mega-constellations such as Starlink and Kuiper | For transporting petabytes or exabytes of initial training data, physical data shuttles– small docking modules launched from ground will be used
#NVIDIA | Agentic AI | Systems for agentic AI | NVIDIA Blackwell | Agent breaks goal into many steps and keeps going until task is done | LLM calls are chained together | Each LLM call is passing growing context | Context embed tools such as code call, database search, web search | Chained LLM calls, tool call delays and growing context stress accelerated computing systems in fundamentally different ways than a single LLM call | For companies building and deploying agents at scale, it is important to understand how responsive agents are, how many can be deployed simultaneously and how much useful work AI infrastructure can deliver for every dollar and watt invested | CUDA kernels accelerate performance by overlapping communication and compute | Separating inputs processing from outputs processing helos to optimize them independently | Real coding agent trajectories: receiving a task, reading files, writing and editing code, executing commands, iterating based on results | Public code repositories across 12+ programming languages used | Platform can support simultaneously limited number of agentic tasks | There is growing demand on agentic AI at scale
#SRI Vision and Robotics Laboratory | Moving from command-based robotics to conversational collaboration | SUWAC (Shared Understanding for Wide-Area human-robot Collaboration) project aims to take full advantage of emergent capabilities of LLMs to advance human-robot collaboration |.Project premise is to equip multi-talented team of robots with LLM-based framework that allows researchers to communicate with robots in natural spoken or typed language and locate any object efficiently and effectively | SRI is independent nonprofit research institute with roots in Silucon Valley
#Johns Hopkins Applied Physics Laboratory | Dragonfly | Car-sized, nuclear-powered octocopter | Covering over 50 miles of Titan surface | Landing, collecting and returning results | Investigating how far prebiotic chemistry has progressed | Searching for chemical signatures that could indicate water-based and/or hydrocarbon-based life | With one hop per full Titan day (16 Earth days), rotorcraft will travel from its initial landing site to cover areas several hundred kilometers away during planned 3.3-year mission | Multi-Mission Radioisotope Thermoelectric Generator (MMRTG), like the durable Curiosity rover on Mars | Flight, data transmission, and most science operations will be executed during Titan daytime hours (eight Earth days | Rotorcraft recharges during Titan night | Mass spectrometer to identify chemical components and processes producing biologically relevant compounds | Neutron and gamma ray spectrometer to measure bulk elemental surface composition | Meteorology sensors to monitor atmospheric and surface conditions, including diurnal and spatial variations | Imaging to characterize geologic features | Seismic studies to detect subsurface activity and structure | Heat shield completed thermal-structural testing in New Mexico desert | Integrated Electronics Module (IEM) with core avionics such as command and data handling, guidance and navigation | Power Switching Units (PSUs) | Lockheed Martin Space: aeroshell and cruise-stage assemblies | NASA Langley Research Center: aerodynamic test series in wind tunnels | Titan Chamber at APL: foam coating insulating rotorcraft from Titan frigid temperatures | Flight radio has been delivered | System-level testing is planned at Lockheed Martin | NASA Kennedy Space Center in Florida spring 2028 launch aboard SpaceX Falcon Heavy rocket
#BETA Technologoes | Aerospace company manufacturing electric flight | VTOL: Vertical takeoff & landing all-electric aircraft | CTOL: Conventional takeoff & landing all-electric aircraft | Aircraft carried manufactured organs | Technologies are built in 188,000-square-foot, net-zero manufacturing and production space | Certified motors | UL-listed Charge Cubes | Partners: United Therapist, UPS, News Zealand air ambulance service
#GMSL2 (Gigabit Multimedia Serial Link 2) | High-speed, automotive-grade digital interface used in robotics to transmit uncompressed high-resolution video, control data, and power over a single cable with near-zero latency | Developed by Maxim Integrated (now Analog Devices) | Acts as a highly reliable neural highway connecting cameras and sensors to a robot central processing brain (such as NVIDIA Jetson or industrial PC) | GMSL2 relies on hardware technique called SerDes (Serializer / Deserializer) | At camera a tiny Serializer chip takes massive, parallel raw video data from camera sensor and squashes it into a single, high-speed serial stream | Through cable stream travels down a single coaxial or Shielded Twisted Pair (STP) cable | At host computer a deserializer chip on carrier board converts serial data back into parallel format (usually MIPI CSI-2), handing it off to AI processor instantly | Key benefits for robotic systems include ultra-low latency: unlike Ethernet or Wi-Fi, GMSL2 does not compress video which guarantees near-instantaneous transmission, allowing Autonomous Mobile Robot (AMR) traveling at high speeds to detect obstacles and brake in real time | Long reach & thin cabling: GMSL2 can transmit 4K data flawlessly over single cables up to 15 meters (50 feet) | Power Over Coax (PoC): a single wire carries uncompressed video, bidirectional control commands (like I2C/UART to adjust exposure), and physical power needed to run camera, which massively slashes robot weight, clutter, and cable management failure points | Immunity to heavy industrial noise: Warehouses and manufacturing floors are flooded with electromagnetic interference (EMI) from heavy motors and power lines, GMSL2 chips use High Immunity Mode (HIM) and programmable spread spectrum clocking to guarantee zero dropped frames in chaotic electronic environments | Perfect multi-camera sync: for robots utilizing 360° surround-view setups or stereoscopic depth-sensing, a single GMSL2 deserializer can aggregate and lock multiple camera feeds in perfect timestamp synchronization | Common robotics use cases:Autonomous Mobile Robots (AMRs) | Industrial Robotic Arms | Agricultural & All-Terrain Robots
#Capital Atlas | B2B financial intelligence platform | Designed to connect startup founders with over 14,000 active venture capital firms by utilizing granular search filters | Platform acts as a data-driven matching marketplace rather than a direct investment fund | Featuries specialized tools for AI agent integration and investor data analysis | Search fund managers by stage, sector, geography, and cheque size | Find fund managers matched to your startup profile
#Neura Robotics | Enabling seamless human-robot collaboration | Developing next generation of human-robot systems | Private German deep-tech startup specialized in Physical Artificial Intelligence and cognitive robotics | Founded in Metzingen, Germany in 2020 by David Reger | Deploying general-purpose humanoid robots and intelligent industrial automation | Distinguishes itself by building vertically integrated cognitive robots | Platforms feature advanced multimodal sensing (sight, hearing, and proprietary NEURA Omnisensor touch system) | Allowing robots to react safely to unstructured human environments | 4NE1: flagship humanoid robot is capable of lifting up to 100 kilograms and built to work autonomously alongside humans in factories and homes without protective structures | MiPA: dedicated household and service robot designed for everyday social and assistance tasks | Neuraverse: proprietary, continuously learning operating system creating network effect: when one robot learns skill, insight is shared across global fleet | Possesses deep automated guided vehicle (AGV) and autonomous mobile robot (AMR) expertise | NEURA Gyms physical AI training to produce real-world physical training data | TUM RoboGym at Munich Airport in collaboration with Technical University of Munich | Established a major data-driven robotics training hub in Hangzhou, China | In June 2026, closed $1.4 billion Series C funding round, marking the largest capital raise for a full-stack robotics company in history | This funding aims to drive serial multi-million robot production by 2030 | Tech & Capital Backers: NVIDIA, Amazon, Qualcomm Technologies, Tether | Deep strategic development partnership with Robert Bosch Robotics to gather data and scale manufacturing, alongside integrations with SAP, Schaeffler, Omron, and Kawasaki Robotics | NEURA stands out by operating as an open ecosystem, aiming to open-source parts of its sensor and compute stack to capture early developer adoption