personalrobot.ai

#Personal Robot AI | Articial Intelligence powered Personal Robot

#AnyMAL | Robot | Navigating as a wheeled quadruped | Standing upright on its hind legs, utilizing its front wheels as makeshift hands | Trained to perform practical tasks | Multimodal platform designed for last-mile delivery and logistics | GPS, LiDAR, and cameras for independent navigation | Reinforcement learning known as curiosity-driven learning | High-level sparse rewards | Independently discerning how to complete the entire task from the beginning | Learning process finely attuned to slight alterations in training environment | Potential for innovative task completion in intricate and dynamic scenarios

#beomni.ai | AI brain | Learning tasks over time | Humanoid robot | Reacting to haptic feedback it receives through sensors | Can distinguish its hand from the object its grasping | Obstacle avoidance and path planning for navigation | Learning by Observation | Beomni AI can plan and schedule physical tasks based on priorities | Can perform multiple physical tasks simultaneously

#picknik.ai | Hybrid autonomy for teleoperation of robotic arms

#Stanford Robotics Lab | Artificial Intelligence lab | OceanOne | Dive Buddy | Human-assisted robotics

#Boston Dynamics | Electric Atlas humanoid | Going from standing upright and transitioning into pushup position with ease | Electric actuators | Robot Dog | Spot | LAPD | Incidents involving active shooters | Assessment of explosives | Hostage situations | Natural disasters | Hazardous materials assessment | Barricaded suspects | Search and rescue missions | 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

#Meka Robotics | Robot arms

#figure.ai | Engineering humanoids | Autonomous humanoid robot

#Softbank Robotics | Pepper robot recognizes faces and tracks human emotions | Monitoring contactless care | Communication for older adults

#promo-bot.ai | Humanoid Robot | Can look like any person | Mimics like human

#Engineered Arts | Robo Thespian | Robot Actor

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

#Toyota | Developing Humanoid Robots | Master Maneuvering System | Robot arm with many joints can continue working even if few of its joints stop working | Providing proper care for aging population | Helping caregivers reduce travel time |Increasing communication time via robots | Helping caretakers enhance their abilities to do more for themselves

#NVIDIA | Robotics stack | Humanoid robotics development | NIM microservices | Pre built containers using NVIDIA inference software | Based on CUDA | Generative physical AI | Reference application for robotics simulation | MimicGen NIM: generates synthetic motion data | Robocasa NIM: generates robot tasks and simulation-ready environments | NIM microservices aiding in the development of digital twins | Humanoid foundation model with real and synthetic data | NVIDIA’s new Humanoid Robot Developer Program | Universal Scene Description Metaverse Language

#Lucas Robotic System | Linear axis and robot gantries

#Ecer | Robot Arm

#Advanced Motion Control | Global motion control experts with industry-leading products

#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

#Hebi Robotics | Modular robots

#Agility Robotics | Digit | Digit Robot | 175 cm (5’9’’) | <65kg (14l lbs) | Can carry up to 16 kg (35 lb) | Works 16 out of 24 hours | Autonomous Charging | Connects itself to its docking station | Walks forward, backward, side to side | Turns in place | Crouching walk | Up and down inclines | Across unstructured terrain

#perplexity.ai | Generative content aggregator

#Kitchen Robotics | Beastro | Dark kitchen sector

#Sanctuary AI | Pheonix humanoid robot | Human-scale applications | General-purpose robot

#Kistler | Dynamic measurement technology for pressure, force, torque and acceleration applications

#Waypoint Robotics | Autonomous mobile robot | AMR

#Soul Machines | Digital DNA Studio | Suite of AI creative tools to create, customize and deploy ALIVE, autonomously animated digital people | Digital Celebrities | Engaging fans 1:1, 24 hours a day, in multiple languages | Autonomous Animation | Endless digitally alive engagement | Digital People Enhanced Listening Behavior incorporates facial expressions and head motions for added acknowledgement | Supporting Microsoft Speech-to-Text (STT)

#3DFY.ai | 3DFY Prompt | Generative AI that lets developers and creators build 3D models based on text prompts

#Engineered Arts | Ameca: human shaped robot, platform for development into future robotics technologies | Mesmer: imitates human bone structure, skin texture and expressions | RoboThespian: actor | customized humanoid robots

#Mecademic | Robotic arm | Assembling delicate aerospace electronics | Performing quality inspections | Testing, precision-machine small components | Micro manipulating extraterrestrial materials

#Glidance | Walking companion | Passive kinetic guidance through pole | Handle connected to small mobile platform | Wheels that steer and break | Identifies user location | Detects both static and dynamic obstacles | Steers user | Applyis and releases brakes | Deposit program for interested customers to reserve robot with down payment | Helping visually-impaired individuals regain their independence | Built-in kickstand to park the unit when it is not in use | Designed to operate all day on a single charge | Haptic feedback in the handle | Prototype | Demos will be delivered using a remote-control system

#Groq | GenAI inference | Language Processing Unit (LPU) | AI language application | Standard machine learning (ML) | Language compiler | Partitioning AIb model into smaller chunks | Spatially mapping chunks onto multiple LPU chips | LPU to LPU data transfer | Assembly line architecture

#Bittware | Groq chip | Deterministic ML inference chip

#Mouser | Accelerator Card | GroqCard | AI Inference PCIe accelerator card | GroqChip

#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

#AI.Fashion | Virtual photoshoots | Empowering Real Talent Digitally | Enabling brands to digitally hire models for photoshoots | New approach to fashion photography | Advanced design and image customization through powerful suite of creative AI tools | Pre-selling collections before production | Allowing human models to get hired by brands for virtual photoshoots | Ensuring control over model likeness | Combining advanced technology with irreplaceable qualities of human models | Minimizing waste and reducing environmental impact by utilizing AI-generated imagery | Optimizing resources and creating content without need for physical photoshoots, travel, or additional materials | Models are independent contractors

#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

#Univeristy of Illinois | Urbana-Champaign | Importance of maintaining musculoskeletal health for cardiovascular health or mobility, to combat neurological degeneration | Aging causes gradual loss of well-formed neuromuscular junctions between nerves and muscles | Muscles ability get impaired to be regulated by nerve signals | Training or stimulation for muscle contractions can produce factors that help maintain neuromuscular junctions | Models of muscle tissue used to stimulate muscles with glutamate to observe the response of nerve function

#NVIDIA Corp. Research | Geometric fabrics | Trained policies | Layer of low-level controllers intercept commands from policy | Reinforcement learning-trained policies on physical robot | Controllers translate commands from policy mitigating hardware limitations | Balancing humanoid robot | Keeping humanoid robot from running its arms into its own body

#Artificial Analysis | Independent analysis of AI language models and API providers

#Groq | Language Processing Unit (LPU) | AI inference technology

#Nvidia | Nvidia Inference Microservices (NIM) | Nvidia Ace digital human platform | Nvidia RTX AI Toolkit | Aiding developers in optimizing and deploying large generative AI models on Windows PCs

#UBTECH | Humanoid robots | Full stack of humanoid robotic technologies | Humanoid robotics | Robotic motion planning and control technology | Servo actuators | Computer vision | Voice interaction technology | SLAM | Autonomous technology | Visual servo operation | Human-robot interaction | Robot Operating System Application Framework (ROSA) | Smart service robots | Smart Elderly Care Solution | Industries: AI education, smart logistics, smart wellness and elderly care, business service

#Cardiologs | AI-powered solutions for cardiac monitoring and diagnostics

#iRhythm | Zio monitor designed to be worn for up to 14 days, allowing continuous and uninterrupted recording of heartbeats | AI-powered solutions for cardiac monitoring and diagnostics

#King Abdullah University of Science and Technology (KAUST) in Saudi Arabia | OceanOne | Red Sea Robotics Exploratorium | Deep-sea corals

#Pinecone | Vector database | Datase for building GenAI applications | Compatible with AI model or LLM, including OpenAI, Anthropic, Cohere, Hugging Face, PaLM | Hybrid search | Partitioning of workload with namespaces | Metadata Filtering | Live index updates

#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

#Zhejiang University, China | Robot dog | Carrying luggage | Navigating through crowds | Climbing stairs | Navigating obstacles independently | Operating in temperatures ranging from minus 20 to 55 degrees Celsius | Navigating and functioning autonomously in extreme environments (dim light, bright light, complete darkness), with a range of over 10 kilometers

#DEEP Robotics | quadrupedal robot

#Jiangsu Aiyuwencheng Elderly Care Robot Co. Ltd | Life care | Health monitoring | Serving as emotional companions for the elderly | Equipped with natural language processing capabilities to communicate fluently, listen attentively, share joys and sorrows

#Control Bionics | Speech generating devices and accessories | Multimodal access

#ZeroErr | Rotary actuators and encoders for automation, collaborative robotics, surgical robotics, and bionic robotics industries

#SiLC | Short Range (SR) Eyeonic Vision System | Optimized for ranges up to 50 meters | Accurate millimeter to sub-millimeter depth precision | For AI machine vision tasks

#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

#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)

#Shadow Robot Company | Humanoid robot hand | 24 joints | 20 degrees of freedom | Teleoperation with tactile feedback systems | NASA | Carnegie Mellon University | Based on Robot Operating System (ROS)

#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

#Tesla | Optimus robot

#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

#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

#University of Washington | 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 | Allen Institute for Artifical Intelligence | Universidad Catolica San Pablo

#1X | NEO Home Humanoid

#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

#Simons Foundation | Polymathic AI | Developing models that are truly polymathic | Giving AI models cross-disciplinary scientific knowledge

#Flatiron Institute | Polymathic AI

#Hugging Face | Polymathic AI

#New York University | Polymathic AI

#University of Cambridge | Polymathic AI

#Princeton University | Polymathic AI

#French Centre National de la Recherche Scientifique | Polymathic AI

#Lawrence Berkeley National | Polymathic AI

#National Taipei University of Technology | Hand gesture recognition system to teach robot

#Pollen Robotics | Focused on creating open-source, AI-driven interactive robots | Aims to make robotics accessible for real-world applications | Flagship product, Reachy, is a modular humanoid robot designed for research, healthcare, and retail applications | Reachy 2 features teleoperation capabilities, Python programmability, and ROS 2 Foxy support | It offers multiple configurations and has been adopted by Hugging Face and Carnegie Mellon University for advanced AI research

#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

#Thinking Machines Lab | thinkingmachines.ai | Building artificial intelligence models and products | Competing on high end of large language models | Human-AI collaboration | Building AI that can adapt to full spectrum of human expertise | Multimodal systems that work with people collaboratively | AI models that can work across text, audio, video | AI models designed to excel in science and programming | Publishing technical blog posts, papers, program code | Mira Murati: CEO | John Schulman: Chief Scientist | Barret Zoph: CTO | Alexander Kirillov: Multimodal Research Head | John Lachman: Head of Special Projects | Alex Gartrell: Linux kernel, networking, and containerization | Andrew Tulloch: ML systems research and engineering | Brydon Eastman: Human and synthetic data, model alignment and RL | Christian Gibson: Supercomputers used in training frontier models | Devendra Chaplot: VLMs, RL, & Robotics | Ian O Connell: Infrastructure engineering | Jacob Menick: ML researcher | Joshua Gross: Products and research | Kurt Shuster: Reasoning | Kyle Luther: ML researcher | Lilian Weng: Research | Luke Metz: Research scientist and engineer | Mario Saltarelli: IT and Security leader | Myle Ott: AI researcher | Nikki Sommer: HRBP | Noah Shpak: ML Engineer, GPUs | Pia Santos: Executive Operations Leader | Randall Lin: Algorithms | Rowan Zellers: Realtime multimodal posttraining | Sam Schoenholz: Scaling, optimization | Sam Shleifer: Inference | Stephen Chen: Infrastructure engineer | Stephen Roller: Full-stack pre-training | Yinghai Lu: ML system engineer

#OpenSpace | openspace.ai | OpenSpace Spatial AI engine maps photos to plans automatically | As-built record of the building from preconstruction to handover and operation | Stay on top of progress | Verify work-in-place | Improve coordination | Reduce risk | AI automatically calculates progress of specific construction activities | Verify work completed for payment applications and better scheduling | Machine learning and computer vision to recognize, track, and quantify work-in-place | Heatmaps on floor plan | Progress Chart plots quantity installed over time | Live dashboards | Export OpenSpace Track progress data

#Hyundai Motor Group | 80% Boston Dynamics

#Softbank | 20% Boston Dynamics

#Suno AI | Generative artificial intelligence music creation program | Generates realistic songs combining vocals and instrumentation or purely instrumental tracks based on user-provided text prompts

#Mureka AI | AI music generation platform

#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

#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)

#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

#Capra Robotics | Mobile robots

#Essential Aero | Mobile robots

#Rgo | Mobile robots

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

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

#Parvalux | Electric motors | Geared Motors for Robotic Solutions

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

#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

#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.

#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

#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

#Field AI | Autonomous systems for machines deployed to fields | Off-road autonomy

#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

#ARM Institute | Semiconductor industry robotics

#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

#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

#BlinkLab (ASX: BB1) | Early diagnosis of autism spectrum disorder (ASD), attention deficit hyperactivity disorder and schizophrenia | Smartphone-neurobehavioral | High-speed video tracking of face | Mobile app as medical device to perform neurometric tests | Tests as biomarkers for neurological and psychiatric disorders | Smartphone camera and microphone as sensors | Results uploaded to cloud-based portal for storage and analysis using machine learning | Venture in digital healthcare

#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

#Real Wear | AI-voice-powered Smart Glasses

#AI Dental | Automated analysis of problematic teeth and other oral health concerns from X-ray images | A free learning app for students and universities to learn to read X-rays and diagnose with ease | AI learning algorithms learning from research samples

#edentist.ai | Personalized mobile dental assistant | Combining cutting-edge artificial intelligence with expert teledentistry consultations | Instant dental assessments | Connecting with licensed dentists | Transforming oral health journey | All from the comfort of smartphone

#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

#Unitree | Go2 robot | Self-developed 4D LIDAR L1 | 360°x90°hemispherical ultra-wide recognition | Super small blind spot | Minimum detection distance 0.05m | All-terrain recognizing | With L1 LiDAR and dedicated App, you can construct point cloud map within certain area, specify path for Go2 to move autonomously | Intelligent side-follow system: utilizing wireless vector positioning and control technology, positioning accuracy is technically upgraded by 50%, remote control distance is over 30m, combined with optimised obstacle avoidance strategy | Robot automatically connects to cloud-based OTA service upgrading its programs to continuously improve user experience | Wi-Fi6/Bluetooth/4G | 2h—4h battery endurance | 5m/s max running speed

#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

#NVIDIA Developer | 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

#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: 约 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

#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

#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

#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