autonomousrobot.dev

#Autonomous Robot | Development

#ArtiRobots | Software | Services | R&D

#Ecer | Robot Arm

#Celeramotion | Precision Components | Mechatronic Assemblies

#Movigo Robotics | Autonomous mobile robots

#Teradyne | Automated testing machines

#Fetch Robotics | Just in time material delivery in manufacturing

#Diverseco | Integrated measurement, packaging, product inspection, and robot automation

#Otto Motors | Autonomous Mobile Robots

#Pnicorp | Sensor systems for military

#Locus Robotics | Automated warehouse robots

#Renu Robotics | Vegetation management

#ControlEng | Software products for engineers and scientists

#FIMA | Heavy mobile work machines forum

#Eagledata | Transportation robots

#KUKA | Robotics

#IVISO | Computer Vision

#FORT Robotics | Controlling smart machines | Secure communication with machines

#Plm Automation Siemens | Product Lifecycle Management

#Industrial Omron | Manufacturing

#RBTX | Low Cost Robotics

#Carbon Robotics | Autonomous LaserWeeder Robot | Deep Learning | Laser | Lidar Sensor | Nvidia | Cumming

#Built Robotics | Transforms heavy equipment into autonomous robots

#Kryon Systems | Robots

#Anybotics | Manipulation payload | Autonomous maintenance tasks | Powerful and torque-controlled arm | Flexible sensor integration | Open software architecture | Access to low-level joint control for developers | System equipped with NVIDIA Jetson GPU | Onboard execution of AI models and real-time perception algorithms | Integrated platform enables advanced mobile manipulation, such as agile tool use, object handling, and real-time interaction in unstructured environments | Human–robot collaboration | Heavy payload handling | Complex tasks | Intelligent, autonomous legged robotics | Legged robotics research package | Collaboration with Duatic, an ETH Zurich spin-off | Workforce App | Operate ANYmal robot from device | Set up and review robot missions | Industrial Inspection

#Starship | Reusable, super heavy lift launch vehicle

#Bluepoint Robotics | intelligent UV disinfection robots

#LG | Autonomous Robots

#Navvis | Accurate mobile mapping of indoor spaces

#Mantis Robotics | Responsive collaborative robots | Flexible human robot collaboration | Industrial robots for manufacturing and warehouse fulfillment

#Legged Robots | Workshop on Legged Robots

#SCHUNK | Gripping system and clamping technology

#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

#Aivero | AI Robotics

#GreyOrange | Autonomous Material Handling Solutions

#Festo | Pneumatic Collaborative Robot Arm

#MuJoCo physics engine | Deep Mind | Alphabet

#Humble Hawksbill | ROS

#Fireflies | Insect scale robots emitting light when flying enabling motion tracking and communication | MIT

#Cardinal | Robotic workcell picking packages from a pile, reading package labels and places them in a GoCart | Amazon

#Universal Scene Description | USD | Metaverse | Digital Twins | Simulating scenes, roads and factories | Autonomous Vehicles | Robots | Large virtual worlds | Pixar | Adobe | Ubisoft | Nvidia

#Autodesk 3ds Max | Autodesk

#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

#NVIDIA | MLPerf | Measuring time to train neural networks | Natural language processing | Speech recognition | Recommender systems | Biomedical image segmentatione | Object detection | Image classification | Reinforcement learning | NVIDIA benchmarking suite | MLPerf Training | MLPerf Inference | MLPerf HPC | NVIDIA Platform

#Roboticsconference | Robotics Science and Systems

#Meta | AI sentience | Conscious machines | Artificial general intelligence

#NATO Maritime Unmanned Systems (MUS) Initiative | Open Ocean Robotics | Idemia Identity and Security | Naval Armaments Cooperation at the U.S. Mission to NATO | Maritime Unmanned Systems Innovation & Coordination Cell (MUSIC2) | Institute for Security Science Technology at Imperial College, London | DARPA | SparkCognition | SkyGrid | Boeing | Planck Aerosystems

#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

#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 | Robotic and servo gear | GPL Robotic Planetary | GCL Cycloidal | GSL Strain Wave | Precision Rack & Pinion | Linear Mount Products for Cartesian Robots

#Boston Dynamics | Enterprise asset management | Spot CAM+IR | Get more data on the health of your assets | See imaging results | Trigger alerts when assets go out of bounds |Review data trendlines on Scout | Add Area Callbacks to regions for safety checks | Set up Strict Path Following mode on autonomous missions | Enable Ground Clutter Avoidance on autonomous missions | Automatic Stairs Mode | Connected Logging and Licensing | NVIDIA Isaac platform | NVIDIA Isaac Lab

#Parvalux | Electric motors | Geared Motors for Robotic Solutions

#Boston Dynamics AI Institute | Artificial intelligence (AI) | Robotics | Intelligent machines | Cognitive AI | Athletic AI | Organic hardware design

#HELUKABEL | Cables, Wires and Accessories for Robotics | Sensor technology and data | Network and bus technology | Control and motor | Customer specific solutions

#Agility Robotics | Digit | Bipedal robot | Moving totes and packages | Unloading trailers at warehouses | RoboFab | Robot manufacturing facility in Salem, Oregon | Producing more than 10,000 Digit robots per year | Factory for humanoid robots

#Jetson Orin Nano | Nova Orin reference platform for autonomous mobile robots (AMRs) | 40 trillion operations per second (TOPS) of AI performance | NVIDIA Ampere architecture GPU | Arm based CPU | Deep learning and vision accelerators | ultimodal sensor support

#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

#FARobot | Swarm Autonomy solution

#NVIDIA | Mission Client | Isaac ROS GitHub | ROS 2 Humble | Nav2 navigation stack | OTTO Motors | InOrbit | VDA5050 Connector | MQTT | OASIS standard messaging protocol for Internet of Things (IoT) applications | Open Robotics

#General Atomics | Air to Air Laser Communication System | Crosslinks from aircraft to other platforms such as unmanned aircraft, maritime vessels, and space systems

#Data driven & robotic solutions for logistics automation alongside reliable, modular service concepts | Warehouse automation | KUKA Group | Chinese Midea Group

#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

#SatelIoT | IoT connectivity over standard 5G NB-IoT

#Jetson AGX Orin Developer Kit | NVIDIA | 275 Trillion Operations per Second (TOPS) | Multiple concurrent AI inference pipelines | High speed interface support for multiple sensors

#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

#Optimax Systems | Robot polishing platform | Optics prototypes | PickNik | Robot Operating System (ROS) | ABB robot arm | ROS 2 Control library | ABB StateMachine | ABB

#USB | Smart agriculture | Robots | Artificial intelligence | Boosting the quantity and quality of crops

#Ocean Autonomy Cluster | Hub for expertise on ocean autonomy

#Universal Robots | Cobot automation | Higher payload, longer reach cobot | Palletizing | Light enough to be unbolted and relocated or attached to a heavy base with wheels | Industry 5.0 | Working alongside robots | NVIDIA Isaac Manipulator | NVIDIA Jetson Orin

#Aerobotix | ROS | Robotic painting system | ROS providing dynamic backbone for creating new systems with sensor packages | Using sensors like motors, lasers, LiDARs and safety devices | Able to find manufacturers developed their own hardware drivers and interfaces to easily pair with ROS | ROS community support | Contractors skilled in ROS development

#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

#UC Berkeley | Industrial engineering and operations research

#Intrinsic | Open Source Robotics Corporation (OSRC) | ROS | Open RMF | Multi fleet robot deconfliction and operations platform |Multi agent motion planning | Optimal resource allocation | Negotiation of conflicting objectives

#ASTM International | Manufacturing Extension Program (MEP) | CHIPS Act

#Nauticus Robotics | Ocean robotic platforms

#Johnson & Johnson | Surgical robotics

#kodiakDriver | Technology stack for long haul trucks | Sensor fusion system | Lightweight mapping solution | Autonomous sensor system | LiDAR | Camera | Radar

#IRS Robotics | Refurbished robots | Robot spare parts

#eCon Systems | Color global shutter camera | Robotic vision | Capturing fast moving objects | High frame rate

#Doodle Labs | Mesh networking for robotic systems | Smart Radio solutions for UAVs, UGVs, AMRs | Mobile Ad Hoc Network (MANET) | nano OEM Smart Radio | Blue UAS | Ultra Reliable Low Latency Command and Control | Dynamic Mesh | OpenWrt Linux OS

#OpenWrt | Linux operating system targeting embedded devices | Fully writable filesystem with package management | Customizing devices | Firmware made of standardized modules

#Software Freedom Conservancy | Fostering free and open source software (FOSS)

#Multiway | Warehouse robotics

#Istituto Italiano di Tecnologia | Center for Robotics and Intelligent Systems | Decoding of human movement and intention | Extracting relevant characteristics of velocity, and acceleration in 3D | Infering action features | Trajectory prediction | Vitality | Fatigue | Kinematic and psychophysics parameters | Estimating in real time the intention and goal of the action

#Nexera Robotics | Robotic grasping | Item picking

#Ambi Robotics | AmbiOS | Supply chain operating system | Robotic parcel sortation

#Viam | Open source robotics system | Integrated cloud services

#MIT Improbable Artificial Intelligence Lab | DribbleBot | Maneuvering a soccer ball on landscapes such as sand and snow | Reinforcement learning to adapt to varying ball dynamics | Onboard sensing and computing | A robot, ball, and terrain are inside the simulation | Digital twin of the natural world

#Dunkermotoren GmbH | Electrical drive technology | Brushless DC motors | Brushed DC motors | Gearboxes

#Technical University of Munich, Germany | Neuromorphic Hardware | Mimicking the human sensor systems (e.g. nose, tongue, skin) | Sensors rather imprecise in their output signals | Human sensory system: eyes (vision), ear (sound), nose (smell), skin (pressure, temperature) and tongue (taste) | Circuits built based on the concept of Spiking Neural Networks (SNN) | Analog HW built which can execute unsupervised learning on chip

#Apptronik | Draco: liquid cooled, high performance bipedal platform, 10 DOFs, Platform for any humanoid system, Open access to low level control software and libraries for RT Linux, ROS integration, Key to unlocking agile dynamic walking | Hume: point foot biped robot, designed with series elastic actuators, inhouse Axon and Medulla controls developed | NVIDIA robotics development platform

#UT Austin HCLR | Whole Body Impulse Control combining Inverse Kinematic and Inverse Dynamic controllers study | Teleoperating tasks to collect data for imitation learning using DRACO3 humanoid robot

#Open Source Robotics Foundation | ROS2 | Teams of multiple robots | Small embedded platforms | Real time systems | Non ideal networks | Production environments | Prescribed patterns | Zeroconf | Protocol Buffers | ZeroMQ (and the other MQs) | Redis | WebSockets | DDS (Data Distribution Service) | Distributed processing | Anonymous publish/subscribe messaging | RPC with feedback (i.e., actions) | Language neutrality |System introspectability

#Reliance Precision Ltd | Slit couplings | Single piece of 7075 aluminum for low inertia | Balanced design for reduced vibration at speeds up to 70,000 RPM | Radiused edges reducing stress on coupling allowing for high misalignment and torsional stiffness with low bearing loads

#ANYbotics | ANYmal inspector carries built in computation | Eliminating need for continuous network communication | Connects through WiFi | 4G/LTE telecommunication with an add on module | Pan tilt unit scans environment around robot and accurately positions built in sensors for inspections of points of interest | AI based inspection algorithms analyze sensory data to interpret values, classify results, and detect anomalies | Camera with 20× optical zoom takes clear images and videos at far distances at 4K resolution | Thermal camera provides precise temperature readings in range of -20–500°C without physical interaction | LED spotlight supports visual inspections in low-light conditions | Directional microphone for recording acoustic measurements in audible and ultrasonic frequency range | Pan tilt unit together with robot base motion positions sensors to check hard to reach places | Setup inspection missions by guiding robot through environment | Work digitally with existing 3d plant models and transfer missions to physical plant | Program custom software to extend capabilities and interface through ROS (Robot Operating System) APIs and open source ecosystem | Develop and test custom software with ANYmal simulator | Obstacle sensing with 6x depth cameras | Environment mapping with 360° lidar | Ubuntu and ROS software platform | Remote Operations: First Responder | AI Enhanced Collision Avoidance: neural network trained controller

#New England Wire Technologies | Custom cables for robotics and automation industry

#Honeybee Robotics | Controllers for actuators and mechanisms for in-space servicing applications

#Figure | Humanoids designed for initial deployment into workforce

#Open Robotics | Robot Operating System (ROS) | Iron Irwini ROS 2 release | Python API documentation on docs.ros.org | Validation and sanitization to complex ROS parameter lists | Info when publisher/subscriber pair establish or drop a connection | Fine-grained logging levels for each ROS node in robot | More performance on large messages | ROI camera display | STL files from SolidWorks

#Intrinsic | Acquired Open Robotics | Flowstate | Layer of abstraction to traditional robotic software tools | Reducing development skills to program robots

#Nvidia | Isaac Sim | Smulating and testing robots

#Advanced Robotic Technology for Enhanced Mobility and Improved Stability (ARTEMIS) | UCLA | General-purpose humanoid robot

#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

#Azure Medical Innovation | Designing precision cobots for surgical applications

#RoboBusiness | Events for robotics industry to successfully develop, deploy and manage the next generation of robotics systems

#CHIEFTEK PRECISION CO., LTD | cpcStudio | High-precision motion control | PLC languages like ST or FBD | EtherCAT | Modbus TCP | Packaging, handling | Inspection | Etching | Panel displays | Automated warehouse | Power engineering

#AMP Robotics | Robotics solutions for recycling industry sector

#Ascento | Autonomous outdoor security patrol robots as a service

#Contoro Robotics | Robotics teleoperation systems

#SanctuaryAI | Creating human-like intelligence in general-purpose robots

#LEMO | Connecting sensors, motors and actuators | Connectors for quadrupedal robots, legged robots, wheeled robots

#Collaborative Robotics | Building autonomous mobile robots | Moving robotics to commercial spaces with material movement | Using large language models for collaboration | Mayo Clinic | Sequoia Capital | CalibrateVentures | Neo Ventures | Amazon Consumer, Fuel Capital | MVP Ventures

#Kollmorgen | Motion control systems

#Barcodes Group | Autonomous Mobile Manipulation (AMM)

#Augmentus | Produces no-code robot programming software

#ESTAT Actuation | Electroadhesive clutches making robots or machines more capable and affordable

#ISYBOT | Design and manufacturing collaborative robots

#Voaige | Visioning software for robotics applications

#BlueBotics | ANT everywhere | ANT Inside building: ANT navigation uses its usual odometry, inertial measurement unit (gyroscope), and laser scanner data | ANT outside: GNSS data starts providing ANT with additional positioning information |ANT outside: GNSS data is given higher priority | Due to advanced sensor fusion, transition between indoor and outdoor is seamless | ANT lab vehicle and mission configuration software for AGVs and AMRs

#Tomahawk Robotics | AI-enabled robotic control systems for the military | Kinesis AI-enhanced open architecture common control system for military

#Tormach | ROS-based industrial robotic manipulator and control system | PathPilot uses Python as robot programming language | Open-source, ROS-based robotics platform includes control system, industrial robot hardware, and full access to all system parameters | Tormach ZA6 robotic arm prints layers of molten metal to create complex shapes | ZA6 ROS/HAL hardware and software stack | Connection between ROS and a robot hardware relies on hardware abstraction layer (HAL) | HAL continues via LinuxCNC and Machinekit projects | HAL components written in C execute in 1kHz real-time thread with minimum jitter | EtherCAT bus | URDF model (unified robot description format) | Python 3 support | csv and http requests Python libraries to upload data files recorded by robot to web server | numpy and kdl Python libs to calculate forces in cartesian space | Twilio Python lib to send text messages from robot | PathPilot user interface makes it easy to write simple teach-mode programs | Wason Technology, LLC developing Robot Raconteur program for force-torque control

#Wason Technology | Robot Raconteur open-source communication framework | PyRI Open-Source Teach Pendant | Tesseract Robot Motion Planner Python interface

#Aris Technology | Collaborative framework to assist various organizations with assigning robotic tasks based on individual operator unique subject matter expertise

#Apparel Robotics Corporation | MassRobotics | Boosting robotic capabilities to handle fabric

#Dexai Robotics | Massachusetts Institute of Technology | Automated robotic task planning

#Carnegie Mellon University (CMU) in Pittsburgh, Pennsylvania | The world frst robotics Ph.D. program

#Massachusetts Institute of Technology (MIT) in Cambridge, MA, USA | One of the top universities in the world for robotics engineering

#University of Tokyo in Bunkyo, Tokyo, Japan | Welcoming and inclusive of international students

#Technical University of Munich in Munich, Germany | Excellent internship and employment prospects

#Imperial College London in London, England, U.K.| Degrees in electrical, mechanical, and biotechnology

#Toyota Research Institute | Large Behavior Model (LBM) framework | AI learning approach | Diffusion Policy | Toyota developed in partnership with Columbia Engineering and MIT | Robotic AIs watch how human does given physical task and then essentially program itself to perform that task in flexible manner | Operators receive haptic feedback from robot soft, flexible grippers through their hand controls, allowing them to feel what robot feels as its manipulators come into contact with objects | Robot builds its own internal model of what success and failure looks like | It then goes and runs thousands upon thousands of physics-based simulations based on its internal models of the task | Robot homes in on set of techniques to get the job done | Process starts with teacher demonstrating a small set of skills through teleoperation

#TRI | Generative AI | Teaching robots

#EPFL | Four-arm laparoscopic surgery by controlling two additional robotic arms via haptic foot interfaces

#Amazon robotics research and development facility | Testing Agility Robotics Digit humanoid robot | Agility is part of the Amazon Industrial Innovation Fund | Digit is human-centric, multi-purpose robot made for logistics work being able to move, grasp, and handle items in spaces and corners of warehouse in novel ways | NVIDIA robotics development platform

#Deep Mind | MuJoCo | Multi-Joint dynamics with Contact | Simulator | Physics engine | Support for accelerator hardware | Improved scalability on CPU | More versatile collision primitives | Google Cloud TPU | Own accelerator hardware | Reinforcement learning | Python support to run MuJoCo on CPU, GPU, or TPU | Ability to detect contact islands or sub-components of scene that do not interact | Scene with two robots | Islands can be solved for independently, for example, on separate threads | Thread-pool API |Model with many humanoids runs faster | Collision geometries

#Flow Robotics | Automating bead clean-up protocols | Utilizing automated liquid handing approach | Increasing the precision and repeatability of the pipetting steps | Reducing errors | Maximizing yield of purified biological materials

#ANYbotics | ANYmal | Outdoor | Analyzing telemetry data | Assessing mobility | Validating navigation algorithms | Enhancing inspection capabilities. | IP67 rating ensuring full functionality in demanding, wet and dirty environments, in heavy rain and snow | If anomalies occur, operators can remotely access ANYmal | Creating fleets of autonomous robots

#Karelics | General Laser | Ouster Lidar | Official ROS 2 Ouster driver | ROS2 Humble | Spot by Boston Dynamics | Nvidia Jetson | Insta360 | Google SSO | Azure Active Directory | Python | Open-source Navigation2 | Spatio-Temporal Voxel Layer | OpenVDB | Ubuntu22.04

#OpenAI | ChatGPT | Robotics | Communicating with robot using natural language | Taking instructions and translating them into code robot can understand and execute | ROS Node example created by ChatGPT to make robot perform infinity-sign pattern in Gazebo simulation | Microsoft

#Agility Robotics | Robots make their own artworks | Artificial intelligence and robotics accelerating and converging

#Vulcanexus | Experimental Robotic Cell for Complex Picking and Dismantling | Re-programmable Co-bots for Flexible Manufacturing

#Advanced Navigation | Inertial measurement unit (IMU) | Heading reference system (AHRS) | Acoustic navigation | AI-based acoustic processing techniques | Subsea transponder | Sidney, Australia

#Sanctuary AI | Carbon AI control system | Robotic hand | Haptic technology that mimics the sense of touch | Hand-eye coordination of object manipulation tasks | AI model training | General-purpose humanoid robotics | NVIDIA robotics development platform

#1X Technologies | Developing humanoid, general-purpose robots | NVIDIA robotics development platform

#READY Robotics | Platform for simulating, developing, and testing robots | ForgeOS controls both the simulation and physical work cell | Workflow enables ForgeOS to relay real-time production data from the cell on the factory floor back to the original Isaac Sim simulation | Toyota | NVIDIA

#Sevensense | Autonomous Mobile Robot (AMR) | AMR autonomously navigate to production cells | Tracking stock inventory as they go | Sharing this information with other robots | Collaborating safely side by side with humans | ABB Robotics

#picknik.ai | Space ROS | MoveIT | Teach Pendant | Robot arm developer kit

#Aalto University | Aalto Robot Learning lab | Reinforcement learning | Robotic manipulation | Decision making under partial observability | Imitation learning | Decision making in multi-agent systems

#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

#Stability AI | Generative AI | Text-to-image model | Text generation | Video Diffusion | Transform text and image into vivid scenes | Elevating concepts into live action, cinematic creations | Audio sample using natural language prompts transform into wide array of sounds | Producing orbital videos from a single image | Creating full 3D videos from both single and orbital imagery | Multilingual models trained in English, Spanish, German, Italian, French, Portuguese, and Dutch | Natural language prompting

#MIT | Autonomous Systems Development Facility (ASDF) | Enabling the development and testing of autonomy algorithms and capabilities | Prototyping and testing of ground-based, aerial, and undersea autonomous systems | Infrared sensors | Integrated motion capture system | Reflective tags on vehicles | Indoor positioning system generating GPS signals | Dry running systems indoors before major outdoor field tests | UAV copter with propeller with low acoustic signature | System for countering unmanned aircraft in urban environment

#GITAI | Autonomous lunar robots | Building tall truss-based towers on the Moon to serve as communication antennas and solar panels | Developing lunar autonomous robot capable of building infrastructure on the Moon

#HEBI Robotics | Robot development platform | Smart robotic actuation hardware and building blocks | Streamlininh the process of developing robots | Space-rated hardware deployed for missions in space | NASA: SBIR

#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

#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

#Kinova Robotics | Ultra lightweight professional robots | Turnkey robotic arm solutions for medical systems | Assistive solutions to overcome upper-body limitations | Ultra-lightweight robots for labs | Robots to take over dull, dirty, and dangerous tasks | Automation solutions | Lift Arm accessory | Gen3 robots compatible with MoveIt Pro

#Linux Foundation | LF AI & Data | Fostering open source innovation in artificial intelligence and data | Open Platform for Enterprise AI (OPEA) | Creating flexible, scalable Generative AI systems | Promoting sustainable ecosystem for open source AI solutions | Simplifying the deployment of generative AI (GenAI) systems | Standardization of Retrieval-Augmented Generation (RAG) | Supporting Linux development and open-source software projects | Linux kernel | Linus Torvalds

#Robot Operating System Assistant (ROSA) | AI-powered tool designed to enhance interaction with ROS1 and ROS2 systems using natural language | Built on Langchain framework

#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

#Field AI | Developing risk-bounded multitask and multipurpose foundation models for robots to safely operate in outdoor field environments | NVIDIA Isaac platform | NVIDIA Isaac Lab

#Galbot | Developing large-scale robotic dexterous grasp dataset DexGraspNet for different dexterous robotic hands, simulation environment for evaluating dexterous grasping models | NVIDIA Isaac platform | NVIDIA Isaac Lab

#Fourier | Training humanoid robots to operate in fields that demand high levels of interaction and adaptability | NVIDIA Isaac Lab

#Mentee | Developing humanoid robots | NVIDIA robotics development platform

#Unitree Robotics | Developing humanoid robots | NVIDIA robotics development platform

#XPENG Robotics | Developing humanoid robots | NVIDIA robotics development platform

#RGo Robotics | NVIDIA Isaac Perceptor helping iwheel.me AMRs work everywhere, all the time, and make intelligent decisions by giving them human-like perception and visual-spatial information

#NVIDIA | GH200 Grace Hopper Superchip | Boosting TTFT in multiturn user interactions | Building contextual understanding of input sequence | Retrieval Augmented Generation (RAG) | Converting user prompt to tokens and then to highly dense vectors | Dot product operations | Building mathematical representation of the relationship between all tokens in prompt | Operations repeated across different layers of the model | Generating key-value cache (KV cache) | Reusing KV cache | KV offloaded from GPU memory to higher capacity and lower cost CPU memory | KV cache reloading back to GPU memory | KV cache offloading, eliminates need to recompute KV cache without holding up valuable GPU memory | Enabling multiple users to interact with the same content without recalculating KV cache for each new user | Speeding code generation in integrated development environments (IDEs) that have LLM capabilities, one or more developers can submit multiple prompts interacting with single code script over extended periods of time, offloading initial KV cache calculations onto CPU memory and then reloading it for subsequent interactions avoids repeated recalculations and saves valuable GPU and infrastructure resources | NVIDIA TensorRT-LLM | Llama 3 70B model running on server with NVIDIA H100 Tensor Core GPUs connected through PCIe to x86 host processor | Compelling deployment strategy for data centers

#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

#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

#Mecademic Industrial Robotics | Meca500 six-axis robot | Automating micro-optics alignment | Photonics automation | Industrial robots

#ANYbotics | Autonomous robotic solution ANYmal | Industrial inspection robots | IP67 rating | Qualcomm Ventures | Supernova Invest | TDK Ventures | Walden Catalyst | NGP Capital | Bessemer Venture Partners | Swisscanto | Swisscom Ventures

#Weebit Nano | Resistive RAM (ReRAM) technology | onsemi signed licensing deal | Treo platform to provide embedded non-volatile memory | ReRAM integration into Bipolar CMOS DMOS (BCD) process | Potential alternative to flash memory | Demand for faster, more efficient, and scalable memory solutions increasing | Lower power consumption | Less vulnerable to common hacking tactics | ReRAM can be integrated easily into chip designs without interfering with power analog components

#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

#International Federation of Robotics (IFR) | Industrial robot installations reached $16.5 billion | Sales of professional service robots increased by 30% worldwide | 4 million industrial robots operating in factories worldwide | Analytical AI enables robots to process and analyze large amounts of data collected by sensors | Robots can analyze past tasks to identify patterns and optimize their operations for greater accuracy and speed | Physical AI enables robots to train themselves in virtual environments

#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

#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

#Hugging Face | SmolVLM | Vision Language Model (VLMs) | Natural language processing (NLP) | Transformers Library | Model and Dataset Hub | Spaces | Community and Open Science | Rapid prototyping | Enterprise Solutions | Funding: Amazon, Google, and Nvidia | Acquired: Gradio (for ML app development), Pollen Robotics (for open-source AI robotics) | BLOOM: large multilingual language model | Partnered with Meta and UNESCO for global language translation tools

#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

#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

#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

#Automate | Robotics and automation event | AI and robotics | Automation trends

#British Encoder | Encoders | Incremental encoders | Absolute encoders | Linear encoders

#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

#Dusty Robotics | FieldPrinter automates transfering of digital model directly to construction site floor

#skyengine.ai | Synthetic data to augment Deep Learning training datasets | Createing DL and AI models that generalize better against unknown real-world data and with reduced algorithmic biases | Platform: simulation and deep learning cloud | Generating fully annotated, synthetic data | Providing advanced domain adaptation algorithms | Training AI computer vision algorithms at scale | Synthetic Data Cloud for Deep Learning in Virtual Reality for Computer Vision Developers | Deep Learning in Metaverse full technology stack | GPU simulator: Physics-based rendering shaders tailored to sensor fusion | AI-based image and video processor for domain adaptation | Specific neural network models for: Object detection, Classification, Semantic Segmentation | Shaping virtual environments

#Apparel Robotics | Apparel industry | Enabling onshoring capabilities | Robotic cells using our Airbender Series Grippers, adaptive end-of-arm-tooling Iris RM, and custom vision system | All built from the ground up to work with fabric-like materials | Handling deformable objects with robots | Mass Robotics | Autodesk Foundation | Massachutes Collaborative | ARM Institute

#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

#Duatic | Rugged, weatherproof robotic arm | Actuator architecture | Quasi-direct, water-resistant, actively-cooled drive modules with integrated electronics | Maximum Payload: 12 kg | Continuous Payload: 6 kg | Reachability: 1.0 m | Total Weight: 9.2 kg | End Effector Speed: 10 m/s | Pose Repeatability:< 1 mm | Degrees of Freedom: 6 | Power Input: 48 V | Protection: IP66 | Joint Torque Accuracy (all): ± 0.5 Nm

#Alliance for OpenUSD (AOUSD) | Promoting interoperability of 3D content through OpenUSD (Universal Scene Description) | Providing written specification for OpenUSD core functionality | Coordinated development of new OpenUSD functionality | Providing repository to house reference implementations | Technology, platform, and ecosystem built to empower 3D creativity and visualization at cinematic scales | Framework and ecosystem for describing, composing, simulating, and collaboratively navigating and constructing 3D scenes | Created by Pixar Animation Studios, OpenUSD is being embraced by industries beyond the film industry, including architecture, engineering, construction, automotive, and manufacturing

#ARM Institute | Robotics Manufacturing Hub | Training for robotics careers | Effort to build a national repository for AI-based manufacturing resources | Accelerating Adoption of Robotics & AI to Increase U.S. manufacturing competitiveness | Enabling innovations in robotics, artificial intelligence (AI), autonomy, and workforce development | 450+ member organizations

#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

#BrainChip | Licenses AI accelerator hardware designs combined with state-of-the-art development tools and advanced neural network models | Bringing on device intelligence to any chip design | Processor IP uses sparsity to focus on the most important data, inherently avoiding unnecessary computation and saving energy at every step | State-space model architecture tracks events over time instead of sampling at fixed intervals, skipping periods of no change to save energy and memory | Edge AI audio processing | Enablinging real-time video and image processing directly on-device | Processing data from sensors like accelerometers, gyroscopes, microphones, radar, and environmental monitors directly on-device | Continuous health tracking that fits Into small wearables | In cabin sensor-based occupant detection system | No unending cloud fees | Support real-time streaming data | Keeps working, even without a network connection | Data stays on device, not in cloud | No transmissionsvmeans less risk of interception | Akida Development Environment (MetaTF) machine learning framework | Processor IP simulator | Python API for neural networks | Conversion Tool (cnn2snn) to convert models to a binary format for model execution on an Akida platform | PCIe Development Board featuring AKD1000 neuromorphic processor in standard PCIe form factor | Akida AKD1000 card features built in capabilities to execute networks without host CPU | BrainChip and VVDN created Akida Edge AI Box for applications such as video analytics, face recognition, and object detection | Event-based neural processor | Models include audio denoising, automatic speech recognition, and language models

#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