personalrobot.dev

#Personal Robot | Development

#Rozum Robotics | Arm manipulators | Six degrees of freedom | Aluminium linking elements | Self designed servo motors embedded into joints | Integrated with a variety of end effectors, such as grippers | Built in servo drives | Application Programming Interface (Java, Python)

#Metaverse | Virtual Reality | VR | Augmented Reality | AG | Virtual World | Web3 | Meta Platform | Digital Twins | Simulation | Autonomous Vehicles | Autonomous Systems | Robots | Artificial Intelligence | AI | Universal Scene Description | USD

#Autodesk 3ds Max | Autodesk

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

#Velodyne Lidar | Vella Development Kit | 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

#NVIDIA | Machine Learning | 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

#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

#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

#Basf | 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

#SICK | Traffic sensors | Safety radar sensors | Safety light beam sensors | Safety camera sensors | Pattern sensors | Non contact motion sensors | Magnetic cylinder sensors | Luminescence sensors | Inertial sensors | Inductive proximity sensors | Glare sensors | Fork sensors | Fluid sensors | Fiber optic sensors | Distance sensors | Contrast sensors | Color sensors | Capacitive and magnetic proximity sensors | Array sensors

#VARTA | Application Specific Batteries (ASB) | Energy Solutions | Portable power for mobile robots

#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)

#Boston Dynamics | Atlas electric model designed for commercialization | Operating in unstructured environments | Boston Dynamics got acquired for $1 billion | Hyundai founded Boston Dynamics AI Institute | Increasing focus on robots serving industrial needs | Focus on use cases | Building reliable robots | Rollouts have to be rea appriach | API [application programming interface] designed for researchers | AI Institute | Artificial intelligence (AI) | Robotics | Intelligent machines | Cognitive AI | Athletic AI | Organic hardware design | Ultrasonic inspections of rotating equipment with Fluke SV600 | Early detection of bearing failures before they lead to costly breakdowns | Operators can capture critical data without the need for additional inline sensors or manual inspections | Leica BLK ARC payload | Autonomous routines | Repeatable laser scans | Precise 3D data for tasks like factory design, equipment installation, and change management | Spot can identify and avoid obstacles requiring additional caution in dynamic environments, including carts, wires, and ladders | Spot Hardware Updates | Tablet Controller Pro | Ergonomic joysticks, longer battery life, and HDMI pass-through | Spot robit operates in temperatures up to 55°C | Core I/O antenna upgrade enhances range and reliability | AI Institute | Artificial intelligence (AI) | Robotics | Intelligent machines | Cognitive AI | Athletic AI | Organic hardware design

#OpenAI | Whisper | Open source deep learning model for speech recognition | Transcribing audio in several languages | Automatic speech recognition (ASR) without the privacy concerns | Content creating | Adding AI to everyday workflows

#Microchip Technology | Tactile Twist on Modern Touch Displays | Reduces Bill of Materials (BoM) | Operates on standard sensor patterns | Eliminates need for openings in the front panel | Configurable knob position, size and number of detents (clicks) | Optional push function | Up to four knob instances | Mount capacitive rotary encoders, also called rotary knobs, over a touch panel | The knob is a passive mechanical element, specifically designed to include at least one conductive pad | The maXTouch KoD touchscreen

#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

#Southwest Research Institute | Seeking to pursue a coordinated motion solution | Enabling richer continuous processing beyond the standard reach of the manipulator without the need to tie together the base and manipulator with an external tracking device

#Capra Robotics | Mobile robots

#Essential Aero | Mobile robots

#Rgo | Mobile robots

#HEBI Robotics | Robot development platform Kits | Robotic actuators with integrated controllers, onboard computing power, and sensors | Agile mobile base, capable of navigating difficult and uneven terrain, climbing stairs, and accessing confined spaces | Customizable tracked robot | Hexapod, IP67 rated six-legged R/C robot kit | Tracked Mobile Base Kit | Mecanum Drive Mobile Base Kit | Robotic arm

#Scythe Robotics | Autonomous machines for mowing | Rust to build the software for autonomous lawnmowers

#Outsight | LiDAR software development kit

#Johnson & Johnson MedTech | Surgical robotics

#Carnegie Mellon University | Biorobotics

#Oregon State University Robotics Institute | Best practices for robotic legged locomotion and physical interaction

#Motional | Development of driverless technology systems

#Nauticus Robotics | Autonomous ocean robotic technologies to combat climate change

#Fortum | Renewing the value chain for electric vehicle and industrial use batteries | Recycling and second life solutions for Lithium Ion batteries

#Robot Operating System | ROS | Pepper Robot | Softbank

#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

#MassRobotics | Ori | Ikea | Boston Seaport District | Amazon | Google | Mitsubishi Electric | Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT | Cybernetix Ventures

#Parvalux | Electric motors | Geared Motors for Robotic Solutions

#Harmonic Drive | Precision servo actuators | Gearheads | Gear component sets

#Spatial | 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

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

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

#Intel | Neuromorphic computing

#Clearpath Robotics | PR2 | Mobile manipulator | Wiring diagrams | Schematics | Cable and assembly drawings | 1000+ software libraries | Robotics research | Robot Operating System (ROS) | ROS interface | 7 DOF robot armss | Sensors | Two computers

#AI Institute | Intelligent machines | Boston Dynamics

#Intrinsic | Industrial robotics for businesses, entrepreneur | Open RMF platform

#Unlimited Robotics | Multifunctional robot

#Diligent Robotics | Robot assistants for clinical staff

#SIKO | MagLine motor feedback

#Main Street Autonomy | Sensor calibration and localization,mapping solutions

#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 | Ethernet Cameras | Ethernet Vision

#Nexaro | Collaborative Robotics | Robots to work, adapt, and react around us

#Bastian Solutions | Robot on Rails | Streamlining laboratory automation process

#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 fevelopment for manufacturing, healthcare, logistics | Dexterity enabling automation in tasks that traditionally require human-like precision

#Mecademic | High precision small industrial robot arm

#OpenVoice | Massachusetts Institute of Technology (MIT) | Tsinghua University in Beijing, China | Canadian AI startup MyShell | Trinity Audio | Samsung Research | Nvidia

#eCon Systems | Embedded Cameras | USB 3.0 Cameras | Cameras for NVIDIA Jetson Development Kits | Embedded Vision cameras | Industrial Cameras | Customized Cameras

#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

#NeuTouch EU | Neuromorphic Embedded Processing for Touch | Identification of neural network architectures for reproducing biological receptive field responses | Implementation in neuromorphic hardware | Design, simulation, fabrication and characterization of neuromorphic circuits for spike based computation of tactile sensory data

#IEEE | IEEE RAS International Conference on Humanoid Robots, Austin, Texas, USA

#Pollen Robotics | Reachy humanoid robot | Expressive open source humanoid platform programmable with Python and ROS | Reachy Full Kit + Mobile Base - €39,990 | Reachy Full Kit - €27,990 | Reachy Starter Kit - €19,990 | Reachy Arm Kit - €9,990 | VR equipement to move Reachy arms, hands and head | Navigation with three omniwheels, a cylinder like structure, sensors and lidar | 7 DOFs arms | Tooltip gripper | Hardware accelarator for machine learning (TPU) | AI frameworks Tensorflow | Microphones and speaker to create vocal interactions with people | 110/220V power | USB3.0, HMDI, Ethernet, Bluetooth, Wifi | Powered by ROS2

#Google | Neural Translation model (GNMT) for cross lingual translations

#Deep Mind | Gemini Robotics | Vision language action | Multimodal reasoning | Real-world understanding | Gemini Robotics On-Device VLA model is optimized to run locally on robotic devices | Strong general-purpose dexterity and task generalization | Optimized to run efficiently on the robot itself | Gemini Robotics SDK | MuJoCo physics simulator | Foundation model for bi-arm robots | Completes highly-dexterous tasks like unzipping bags or folding clothes — all while operating directly on the robot | Trained model for ALOHA robots first | Adapted model to bi-arm Franka FR3 robot and Apollo humanoid robot by Apptronik | Generalist model can follow natural language instructions and manipulate different objects

#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

#University Texas, Austin | Transfer Lesrning for reinvorcement lesrning on physical robot

#CPC | Miniature 6 axis robot arm

#Ultimate Robots | Robotic arm controlled using muscle movement | EMG signal sensor PCB | uMyo microelectronics board Arduino | Three uMyo PCBs to detect movement from wearer | Each finger has two tendors connected to a wheel | Wheel operated by a servo | Servo determines whether or not to curl or uncurl fingers | Open source device uMyo | uMyo can detect signals from arms, legs, face muscles, and torso muscles | uMyo signals transmitted to Arduino | Arduino uses nRF24 module to receive wireless signals | Arduino processes input to send commands to servos via PCA9685 driver board causing robotic arm to move in response | Software in robotic arm open source

#University of Tokyo | Jizai Arms | Backpack-like system capable of supporting up to six robotic arms at a time | Role-playing sessions | Person using controller can move someone else robotic arm (top) | Need to study not only how to feel using robotic body parts but also sharing them

#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

#Engineered Arts Ltd | Multiplying the power of artificial Intelligence with an artificial body | Lifelike humanoid to develop and show off machine learning interactions | Robot-human interactions | Smart, personable robot | Realistic humanoid robots for film sets

#University of Cape Town | Pneumatic Actuators | Studying finer details of cheetah anatomy and dynamics | Instantaneous power to match performance of biological muscles | By using gas as working fluid instead of a liquid, one can get high force-to-weight ratio in relatively simple and inexpensive form factor with built-in compliance that hydraulics lack | Making robot run like cheetah | Exploring the kind of rapid acceleration and maneuverability that pneumatics can offer | High-force pneumatic pistons attached to knees | Modeling complex dynamics of pneumatic actuators | Focusing on transient phase of locomotion—like rapid acceleration from a standstill, or coming to rest once you are at a high-speed gait | Developing platform to understand biomechanics of animal locomotion

#MIT | PIGINet | Transformer-based Plan Feasibility Predictor for Robotic Rearrangement in Geometrically Complex Environments | Predictinng feasibility of task Plan given Images of objects, Goal description, and Initial state descriptions | Reducing planning time of task and motion planner by eliminating infeasible task plans | Learning-enabled Task and Motion Planning (TAMP) algorithm for solving mobile manipulation problems in environments with many articulated and movable obstacles | Taking in task plan, goal, and initial state, and predicting probability of finding motion trajectories associated with task plan

#Grasp Robotics | Humanoid robots

#Unitree | Humanoid robot | Developed leg mechanics and drive systems with its quadruped product line | Developed and field-tested the necessary perception and locomotion algorithms | Robot features high-torque joint motor and gear train developed internally | For perception, robot includes 3D LiDAR sensor and depth camera | Leg joints are 5 degrees of freedom (DOF) | Arms are 4 DOF.

#University of Bern | Human Brain Project

#British Encoder (BEPC) | Motion sensing devices | BEPC network-ready absolute encoders | Single or multi-turn (16-bit ST / 43-bit MT) | 58 mm diameter package | No gears or batteries | Energy-harvesting magnetic multi-turn technology 

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

#Figure AI | Designing robots for the real world | Helix generalist humanoid Vision-Language-Action model reasoning like a human | Figure Exceeds $1B in Series C Funding at $39B Post-Money Valuation | Accelerating efforts to bring general-purpose humanoid robots into real-world environments at scale | Round led by Parkway Venture Capital | Significant investment from Brookfield Asset Management, NVIDIA, Macquarie Capital, Intel Capital, Align Ventures, Tamarack Global, LG Technology Ventures, Salesforce, T-Mobile Ventures, and Qualcomm Ventures | Unlocking the next stage of growth for humanoid robots | Scaling AI platform Helix and BotQ manufacturing | Scaling humanoid robots into homes and commercial operations | Building next-generation GPU infrastructure to accelerate training and simulation | Powering Helix core models for perception, reasoning, and control | Launching advanced data collection of human video and multimodal sensory inputs | Robot learned how to make coffee with data collected from humans making coffee | Accomplished through an end-to-end AI system | Neural networks taking video in and pushing trajectories out | Robot learned how to self-correct tasks | Obtaining human data for applications | Training AI system end-to-end on robot, creating path to scale to every use case

#1X Technologies | Bipedal NEO humanoid robot | Household services | Servo motor with high torque-to-weight ratio | Efficient manipulation, especially in confined spaces | Moving furniture | EQT Ventures | OpenAI | Sandwater | Samsung NEXT

#Hello Robot | Assistive mobile manipulator robot | Stretch Cognitive and Physical Assistant | Helper for older adults struggling with aphysical and cognitive impairments | Augmenting caregiving workforce | Allowing loved ones to age-in-place at home for longer | Helping people with mild cognitive impairment with both physical and cognitive tasks | Developing more autonomous activities to Stretch

#Disney research | Developing model- and learning-based tools for believable robotic characters | Differentiable simulation | Reinforcement learning | Creating dynamic robotic performances for entertainment applications | Enabling actuated figures to perform untethered, high-velocity gymnastic actions robustly and repeatably | Stuntronics platform | Onboard sensing

#Hanson Robotics | Cognitive architecture and AI-based tools enabling robots to simulate human personalities

#Croq | Groq API | Taking user-defined functions as inputs | Generating structured JSON through functions | Enabling consistent and predictable outputs for applications

#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

#Regal Rexnord | Kollmorgen | Motion control and power transmission solutions design and producing

#IDS | Industrial image processing | 3D cameras | Digital twins can distinguish color | Higher reproducible Z-accuracy | Stereo cameras: 240 mm, 455 mm | RGB sensor | Distinguishing colored objects | Improved pattern contrast on objects at long distances | Z accuracy: 0.1 mm at 1 m object distance | SDK | AI based image processing web service | AI based image analysis

#Fourier | GRx humanoid robot series | GR-2 stands 175 cm (68.9 in.) tall and weighs 63 kg (139 lb.) | GR-2 offers 53 degrees of freedom and single-arm load capacity of 3 kg (6.6 lb.) | Fourier humanoid has detachable battery | Concealed wires and more compact packaging | Hands with 12 degrees of freedom | Array-type tactile sensors that sense force and can identify object shapes and materials |Fourier Smart Actuators (FSA) | Software development kit (SDK)

#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

#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

#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 F 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

#Stanford University | BEHAVIOR-1K | Training robots to perform 1,000 real-world-inspired activities | Using OmniGib simulation environment | Accelerating embodied AI research built on NVIDIA Omniverse platform | Training robots in practical skills

#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

#1X | NEO Home Humanoid

#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

#Trossen Robotics | Pi Zero (p0) | 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

#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

#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

#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

#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

#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

#ARM | Advanced RISC Machines | RISC instruction set architectures (ISAs) for computers | ARM processors for portable, battery-powered devices, smartphones, embedded systems | SoftBank Group | AI ecosystem | Renesas | ResCon Technologies, LLC | GitLab | Embedl | Mapbox | Roofline | ENERZAi | 221e | AnchorZ Inc | Excelfore | ax Inc | weeteq | Eeasy Tech | Cerence AI | u-blox | SECO | Klepsydra Technologies | Ampere Computing | Senary Technology Limited | Ceva | Sensory | GitHub | Raspberry Pi Ltd | Untether AI | Eyeris | AiM Future, Inc | Dori AI | DeGirum Corp | OmniSpeech | ADLINK | Yobe | SLAMcore | Elliptic Labs AS | alwaysAI | Edge Impulse | SoundHound AI | Cyberon Corporation | Qeexo AutoML | Fortifyedge | TERAKI | NVIDIA | Neuton.AI | Aizip Inc | BrainChip | Roviero | RelaJet | Visidon

#Persona Inc AI |Humanoids for heavy industry 3D job | Developing humanoid platform designed specifically for heavy industry jobs | Commercializing NASA robotic hand IP to deliver superior dexterity for skilled jobs | Adapting to various industry use cases via modularized Personas | Purpose-built humanoids for ship buildong | Taking robots from controlled labs into harsh environments like space and the depths of the sea

#OnLogic | Industrual computers | Edge AI hardware

#Real Botix | AI-powered robots for companionship | Human-like robots

#Istitutomarangoni | Fashion schools | Milano School of Fashion | Firenze School of Fashion & Art | With AI the most intriguing part of the results is the serendipity, the unknown, the unexpected outcomes that can inspire new design ideas and lead to creative breakthroughs | Humanoid robots and fashion future | Shanghai, humanoid robots transcend fashion hype, reimagining design, challenging beauty norms, and unlocking metaverse opportunities | Convergence of fashion and technology | Human-machine collaboration in fashion | Genuine, emerging trend | Creativity, production, and human-machine interaction | Robots are becoming experimental platforms | Integration of robots into runway | Aesthetic Reinvention: designing beyond the human form | Fostering Human-Robot Collaboration From Runway to Production and Retail | Challenging Beauty Norms | Paving Way for Future Trajectories: The Metaverse of Fashion

#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

#Developer NVIDIA | CUDA Toolkit | CUDA 13.X software lineup | Arm platforms: unifying CUDA toolkit across server-class and embedded devices | Building robotics or AI application once, simulating on high-performance systems like DGX Spark, and deploying the exact same binary—without any code changes—directly onto embedded targets | Tile-based programming: applying simple, expressive commands to entire arrays or matrices, and let system handle low-level execution | Math libraries with linear algebra | Accelerated Python cuda.core | Updated vector types

#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 Developer | Newton | Open-source, extensible physics engine being developed by NVIDIA, Google DeepMind, and Disney Research | Built on NVIDIA Warp, which enables robots to learn how to handle complex tasks with greater precision | NVIDIA CUDA-X acceleration library | Physics-based simulations, using parallel processing power of NVIDIA GPUs | Compatibility Multi-Joint dynamics with Contact (MuJuCo) | Differentiable simulators generate forward-mode results and compute reverse-mode gradients of simulation results for back-propagation to optimize system parameters | Enabling multiphysics simulations for robots to interact with food items, cloth, deformable objects through custom solvers, integrators, numerical methods | Disney Research usingvNewton to advance its robotic character platform | Intrinsic and NVIDIA collaborating on defining OpenUSD asset structure for robotics

#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 | Building edge hardware systems that can execute LLMs to provide domain-specific intelligent assistance at the Edge | Building models using an extremely compact LLM topology | Temporal Event Neural Networks (TENNs) based on state-space models combined with pre-processing information in a RAG system | Stand-alone, battery-powered AI assistant that covers huge amount of information

#Unitree Robotics | Civilian robotics company | Focusing on the R&D, production, and sales of consumer and industry-class high-performance general-purpose legged and humanoid robots, six-axis manipulators | Opening ceremonies as Winter Games 2022, 2023 Super Bowl | First company to start public retail of high-performance quadruped robots | . First to achieve industry landing, with global sales leading over years | Leadership in core robot parts, motion control, robot sensing | Attaches great importance to independent RD and technological innovation, fully self-researching key core robot components such as motors, reducers, controllers, LIDAR and high-performance perception and motion control algorithms | Integrating entire robotics industry chain | Reaching global technological leadership in the field of quadruped robots | More than 180 authorized patents | Unitree R1 humanoid | Agile mobility: 24-26-DOF for adaptation to complex scenarios; its 2-DOF head enhances environmental perception | Lightweight structure, easy maintenance: =121cm agile form, ultra-lightweight at about 25kg, ready out-of-the-box to empower | Integrated with Large Multimodal Model for voice and images: Fully open control interfaces for joints and sensors, with support for mainstream simulation platforms | Height Width and Thickness(Stand): 1210x357x190mm | Degree of Freedom(Total Joints): 24 | Single Leg Degrees of Freedom: 6 | Single Arm Degrees of Freedom: 5 | Waist Degrees of Freedom: 2 | Head Degrees of Freedom: None | Dexterous Hand: NOT | Joint output bearing: Crossed roller bearings, Double Hook Ball Bearings | Joint motor: Low inertia high-speed internal rotor PMSM(permanent magnet synchronous motor,better response speed and heat dissipation) | Maximum Torque of Arm Joint: ? 2kg | Calf + Thigh Length: 675 | Forearm + Upper Arm Length: 435 | Joint Movement Space: Waist Joint:Y±150° R±30°, Knee Joint:-10°~+148°, Hip Joint:Y:±157° P:-168° ~+146° R:-60° ~+100° | Electrical Routing: Hollow + Internal Routing | Joint Encoder: Dual + single encoder | Cooling System: Local air cooling | Power Supply: Lithium battery | Basic Computing Power: 8-core high-performance CPU | Microphone Array: 4-Mic Array | Speaker: YES | WiFi 6 | Bluetooth 5.2 | Humanoid Binocular Camera | NVIDIA Jetson Orin Optional (40-100 Tops) | Smart Battery (Quick Release) | Charger | Manual Controller | Battery Life: about 1h | Upgraded Intelligency: OTA | Warranty Period: 8 Months

#Bair | Academic AI research lab | Vision-language model (VLM) | Training vision models when labeled data unavailable | Techniques enabling robots to determine appropriate actions in novel situations | LLMs used as visual reasoning coordinators | Using multiple task-specific models

#Parkway Venture Capital | Figure AI | Series-c round | Unlocking the next stage of growth for humanoid robots | Scaling AI platform Helix and BotQ manufacturing | Scaling humanoid robots into homes and commercial operations | Building next-generation GPU infrastructure to accelerate training and simulation | Powering Helix core models for perception, reasoning, and control | Launching advanced data collection of human video and multimodal sensory inputs

#Brookfield Asset Management | Figure AI | Series-c round | Unlocking the next stage of growth for humanoid robots | Scaling AI platform Helix and BotQ manufacturing | Scaling humanoid robots into homes and commercial operations | Building next-generation GPU infrastructure to accelerate training and simulation | Powering Helix core models for perception, reasoning, and control | Launching advanced data collection of human video and multimodal sensory inputs

#NVIDIA | Figure AI | Series-c round | Unlocking the next stage of growth for humanoid robots | Scaling AI platform Helix and BotQ manufacturing | Scaling humanoid robots into homes and commercial operations | Building next-generation GPU infrastructure to accelerate training and simulation | Powering Helix core models for perception, reasoning, and control | Launching advanced data collection of human video and multimodal sensory inputs

#Macquarie Capital | Figure AI | Series-c round | Unlocking the next stage of growth for humanoid robots | Scaling AI platform Helix and BotQ manufacturing | Scaling humanoid robots into homes and commercial operations | Building next-generation GPU infrastructure to accelerate training and simulation | Powering Helix core models for perception, reasoning, and control | Launching advanced data collection of human video and multimodal sensory inputs

#Intel Capital | Figure AI | Series-c round | Unlocking the next stage of growth for humanoid robots | Scaling AI platform Helix and BotQ manufacturing | Scaling humanoid robots into homes and commercial operations | Building next-generation GPU infrastructure to accelerate training and simulation | Powering Helix core models for perception, reasoning, and control | Launching advanced data collection of human video and multimodal sensory inputs

#Align Ventures | Figure AI | Series-c round | Unlocking the next stage of growth for humanoid robots | Scaling AI platform Helix and BotQ manufacturing | Scaling humanoid robots into homes and commercial operations | Building next-generation GPU infrastructure to accelerate training and simulation | Powering Helix core models for perception, reasoning, and control | Launching advanced data collection of human video and multimodal sensory inputs

#Tamarack Global | Figure AI | Series-c round | Unlocking the next stage of growth for humanoid robots | Scaling AI platform Helix and BotQ manufacturing | Scaling humanoid robots into homes and commercial operations | Building next-generation GPU infrastructure to accelerate training and simulation | Powering Helix core models for perception, reasoning, and control | Launching advanced data collection of human video and multimodal sensory inputs

#LG Technology Ventures | Figure AI | Series-c round | Unlocking the next stage of growth for humanoid robots | Scaling AI platform Helix and BotQ manufacturing | Scaling humanoid robots into homes and commercial operations | Building next-generation GPU infrastructure to accelerate training and simulation | Powering Helix core models for perception, reasoning, and control | Launching advanced data collection of human video and multimodal sensory inputs

#Salesforce | Figure AI | Series-c round | Unlocking the next stage of growth for humanoid robots | Scaling AI platform Helix and BotQ manufacturing | Scaling humanoid robots into homes and commercial operations | Building next-generation GPU infrastructure to accelerate training and simulation | Powering Helix core models for perception, reasoning, and control | Launching advanced data collection of human video and multimodal sensory inputs

#T-Mobile Ventures | Figure AI | Series-c round | Unlocking the next stage of growth for humanoid robots | Scaling AI platform Helix and BotQ manufacturing | Scaling humanoid robots into homes and commercial operations | Building next-generation GPU infrastructure to accelerate training and simulation | Powering Helix core models for perception, reasoning, and control | Launching advanced data collection of human video and multimodal sensory inputs

#Qualcomm Ventures | Figure AI | Series-c round | Unlocking the next stage of growth for humanoid robots | Scaling AI platform Helix and BotQ manufacturing | Scaling humanoid robots into homes and commercial operations | Building next-generation GPU infrastructure to accelerate training and simulation | Powering Helix core models for perception, reasoning, and control | Launching advanced data collection of human video and multimodal sensory inputs

#Advanced Robotics and Controls Lab (ARClab) at University California, San Diego (UCSD) | Dedicated to research in design and automation of intelligent robots for the betterment of humanity | Surgical robots for semi-autonomous and image-guided surgery | Biomimetic robots for human-robot care, animal conservation, and extraterrestrial exploration | Robot learning for interacting with the world around us | Group is directed by Professor Michael Yip | Humanoids in Hospitals: A Technical Study of Humanoid Surrogates for Dexterous Medical Interventions | Differentiable Rendering-based Pose Estimation for Surgical Robotic Instruments | Back to Base: Towards Hands-Off Learning via Safe Resets with Reach-Avoid Safety Filters | SurgIRL: Towards Life-Long Learning for Surgical Automation by Incremental Reinforcement Learning | AutoPeel: Adhesion-aware Safe Peeling Trajectory Optimization for Robotic Wound Care

#NVIDIA Developer | Isaac Lab 2.3 | Whole body control and enhanced teleoperation | Sim-first approach | Imitation learning | Motion planner-based workflow for generating data in manipulation tasks | Dexterous manipulation tasks | Dictionary observation space for perception and proprioception | Automatic Domain Randomization (ADR) | Remote manipulation and locomotion control | Dexterous retargeting: the process of translating human hand configurations to robot hand joint positions for manipulation tasks | Human-provided subtask segments | Multiphase planning (approach, contact, retreat) | Dynamic object attachment and detachment | Synthetic data generation (SDG) | Robot knowing its location | Loco-manipulation (coordinated execution of locomotion and manipulation) | Policy evaluation framework for scalable simulation-based experimentation

#Sevensense | Robot autonomy system combining the benefits of Visual SLAM positioning with advanced AI local perception and navigation tech | Visual Al technology | AI-based autonomy solutions | Visual SLAM | Dynamic obstacle avoidance | Constructing accurate 3D maps of the environment using sensors built into robots | Algorithms precisely localize robot by matching what it observes at any given time with 3D map | Using AI driven perception system robot learns what is around it and predicts people actions to react accordingly | Intelligent path planning makes robot move around static and dynamic obstacles to avoid unnecessary stops | Collaborating with each others robots share important information like their position and changes in mapped environment | Running indoors, outdoors, over ramps and on multiple levels without auxiliary systems | Repeatability of 4mm guarantees precise docking | Updates the map and shares it with the entire fleet | Edge AI: All intelligence is on the vehicle, eliminating any issue related to the loss of connectivity | VDA 5050 standardized interface for AGV communication | Alphasense Autonomy Evaluation Kit | Autonomous mobile robot (AMR) | Hybrid fleets: manual and autonomous systems work collaboratively | Equipping both autonomous and manually operated vehicles with advanced Visual SLAM and AI-powered perception | Workers and AMRs share the same map of the warehouse, with live position data of each of the vehicles | Turning every movement in warehouse into shared spatial awareness that serves operators, machines, and managers alike | Equiping AGVs and other types of wheeled vehicles with multi-camera, industrial-grade Visual SLAM, providing accurate 3D positioning | Combining Visual SLAM with AI-driven 3D perception and navigation | Extending visibility to manually operated vehicles, such as forklifts, tuggers, and other types of industrial trucks | Unifying spatial awareness across fleets | Unlocking operational visibility | Ensuring every movement generates usable data | Providing foundation for smarter, data-driven decision-making | Merging manual and autonomous workflows into a single connected ecosystem | Real-time vehicle tracking | Traffic heatmaps | Spaghetti diagrams | Predictive flow analytics | Redesigning layouts | Optimizing pick paths | Streamlining material handling | Accurate vehicle tracking | Safe-speed enforcement | Pedestrian proximity alerts | Lowerung insurance claims | Ensuring regulatory compliance | Making equipment smarter, scalable, interoperable, and differentiable | Predictive maintenance | Fleet optimization | Visual AI Ecosystem connecting machines, people, processes, and data | Autonomous robotic floor cleaning | Industry 5.0 by adding people-centric approach | Visual AI to providing real-time, people-centric decision-making capabilities as part of autonomous navigation solutions | Collaborative Navigation transforming Autonomous Mobile Robots (AMRs) into mobile cobots | Visual AI confering robots the ability to understand the context of the environment, distinguishing between unobstructed and obstructed paths, categorizing the types of obstacles they encounter, and adapting their behavior dynamically in real-time | Automatically generating complete and very accurate 3D digital twin of an elevator shaft | Autonomous eTrolleys tackling last-mile problem |Autonomous product delivery at airports

#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

#KHK Gears | 200 styles of stock gearing products | Over 27,000 unique configurations | Metric spur gears | Metric helical gears | Metric internal ring gears | Straight and helical metric gear racks | Metric circular pitch (CP) racks | Pinions | Straight, spiral, & hypoid tooth metric bevel gears | Straight, & spiral tooth metric miter gears | Metric screw gears | Metric worms & worm wheels | Metric ratchets & pawls | Metric gear couplings | Metric involute splines & bushings | Right-angle metric gearboxes | Gear lubrication systems