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Build a humanoid robot yourself! 🪚 OpenArm is an open-source humanoid robot. It comes with full CAD, control code, firmware, and simulation tools, everything needed to build, modify, and operate it. The arms are designed to be compliant and backdrivable. Teleoperation is supported, with force feedback and real-time gravity... compensation so operators can guide the arm naturally. Super important, on the simulation side, OpenArm works with platforms like MuJoCo and Isaac Sim, letting developers test policies in virtual environments before running on hardware. Assemble it yourself from a kit or get it prebuilt, the goal is accessibility for research labs, small teams, and enthusiasts. The project is run by Enactic in Tokyo, Japan, and aims to lower the barrier for experimenting with dexterous manipulation. Let's put robotics in mainstream! 🔥🔥 P.S. I put the project page in the comments!show more

Lukas Ziegler

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233,153 Aufrufe • vor 11 Monaten •via X (Twitter)

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Another win for open-source robotics! 🔥 Hugging Face just released a fully open-source humanoid robot, and you can build one for $2,500. I'm a huge advocate of open-source in robotics space. Why? Robotics is too hard to solve alone. So lowering the entry point is crucial. Also, ROS proved open ecosystems create lasting industry standards. So let's have a look at the new member of humanoids family! LeRobot Humanoid is a 3D-printed, bipedal humanoid platform designed for real robot learning experiments. It's a complete and, buildable robot Anddddd yes, it's a full stack release: → Hardware files, bill of materials and full assembly documentation → Simulation assets and training environments → Runtime tools for calibration and real-world control → Sim-to-real identification pipeline When a part breaks, reprint it. When a design choice doesn't work, modify it and test again. The whole point is fast iteration on real hardware, not treating the robot as a fixed artefact. The timing is not a coincidence. As foundation models for robotics mature, the field desperately needs open physical platforms to train, validate and deploy them on. clem 🤗 LET'S GO!!! Build it here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Another win for open-source robotics! 🔥 Hugging Face just released a fully open-source humanoid robot, and you can build one for $2,500. I'm a huge advocate of open-source in robotics space. Why? Robotics is too hard to solve alone. So lowering the entry point is crucial. Also, ROS proved open ecosystems create lasting industry standards. So let's have a look at the new member of humanoids family! LeRobot Humanoid is a 3D-printed, bipedal humanoid platform designed for real robot learning experiments. It's a complete and, buildable robot Anddddd yes, it's a full stack release: → Hardware files, bill of materials and full assembly documentation → Simulation assets and training environments → Runtime tools for calibration and real-world control → Sim-to-real identification pipeline When a part breaks, reprint it. When a design choice doesn't work, modify it and test again. The whole point is fast iteration on real hardware, not treating the robot as a fixed artefact. The timing is not a coincidence. As foundation models for robotics mature, the field desperately needs open physical platforms to train, validate and deploy them on. clem 🤗 LET'S GO!!! Build it here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

20,457 Aufrufe • vor 3 Monaten

We're open-sourcing Asimov v1, a humanoid robot. With Asimov v1, you can build, train on, and make it your own humanoid robot. It's the first step of building a humanoid labor force for the rest of us. Asimov v1 is 1.2 m tall, 35 kg, with 25 actuated degrees of freedom. Structural parts machined in 7075 aluminium and 3D-printed in MJF PA12 nylon. We're releasing the mechanical design and simulation files. Ready for locomotion policy training out of the box. The BOM is open too. Source everything yourself, or order the DIY Kit. All components, ready to assemble. $499 deposit, $15,000 target price. Ships end of summer 2026. GitHub: Manual: DIY Kit: Most humanoid robots are controlled by the companies that build them. Asimov v1 is built for the rest of us. Build it, test it, and share your feedback with the community.

We're open-sourcing Asimov v1, a humanoid robot. With Asimov v1, you can build, train on, and make it your own humanoid robot. It's the first step of building a humanoid labor force for the rest of us. Asimov v1 is 1.2 m tall, 35 kg, with 25 actuated degrees of freedom. Structural parts machined in 7075 aluminium and 3D-printed in MJF PA12 nylon. We're releasing the mechanical design and simulation files. Ready for locomotion policy training out of the box. The BOM is open too. Source everything yourself, or order the DIY Kit. All components, ready to assemble. $499 deposit, $15,000 target price. Ships end of summer 2026. GitHub: Manual: DIY Kit: Most humanoid robots are controlled by the companies that build them. Asimov v1 is built for the rest of us. Build it, test it, and share your feedback with the community.

Asimov

343,101 Aufrufe • vor 4 Monaten

OpenArm is a fully open-source robotic arm designed for human manipulation data collection - developed by the Reazon Human Interaction Lab in Japan. V0.2 beta features smoother teleop with gravity compensation and bilateral force feedback.

OpenArm is a fully open-source robotic arm designed for human manipulation data collection - developed by the Reazon Human Interaction Lab in Japan. V0.2 beta features smoother teleop with gravity compensation and bilateral force feedback.

The Humanoid Hub

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Physics AI 🌊 Jensen just unveiled the NVIDIA Isaac GR00T Reference Humanoid Robot at GTC Taipei--the world’s first open-source humanoid robot reference design Built on Jetson Thor edge computing and the Isaac GR00T open platform, it features a Unitree H2 Plus body with Sharpa five-finger dexterous hands and 75 degrees of freedom. Even before Physical AI truly explodes, NVIDIA has built a complete end-to-end full-stack infrastructure: >chips (Jetson Thor + Blackwell), >synthetic data (GR00T-Dreams), >world models (Cosmos), >foundation models (GR00T N-series VLA), >high-fidelity simulation platforms (Isaac Sim + Isaac Lab + Omniverse). Dozens of humanoid robot companies ,including Agility Robotics, Aglie robotics,Boston Dynamics, Figure, 1X, NEURA Robotics, XPENG Robotics, and more are already running large-scale daily simulation training on this platform, rapidly iterating perception, reasoning, and actions in virtual environments, speeding up the jump from lab prototypes to real factory deployment. By providing an open reference design and full-stack tools, NVIDIA has dramatically lowered the barrier, letting every robotics team join the Physical AI wave with low cost and high efficiency.

Physics AI 🌊 Jensen just unveiled the NVIDIA Isaac GR00T Reference Humanoid Robot at GTC Taipei--the world’s first open-source humanoid robot reference design Built on Jetson Thor edge computing and the Isaac GR00T open platform, it features a Unitree H2 Plus body with Sharpa five-finger dexterous hands and 75 degrees of freedom. Even before Physical AI truly explodes, NVIDIA has built a complete end-to-end full-stack infrastructure: >chips (Jetson Thor + Blackwell), >synthetic data (GR00T-Dreams), >world models (Cosmos), >foundation models (GR00T N-series VLA), >high-fidelity simulation platforms (Isaac Sim + Isaac Lab + Omniverse). Dozens of humanoid robot companies ,including Agility Robotics, Aglie robotics,Boston Dynamics, Figure, 1X, NEURA Robotics, XPENG Robotics, and more are already running large-scale daily simulation training on this platform, rapidly iterating perception, reasoning, and actions in virtual environments, speeding up the jump from lab prototypes to real factory deployment. By providing an open reference design and full-stack tools, NVIDIA has dramatically lowered the barrier, letting every robotics team join the Physical AI wave with low cost and high efficiency.

CyberRobo

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The coolest part of Microduck might not be the robot. It's how it learns to move. This repo shows the full reinforcement learning pipeline behind Microduck. The robot learns in simulation using MuJoCo, PPO and GPU-based training, then the trained policy is exported to ONNX and deployed on the real robot. But the real challenge is sim-to-real. The simulation models things like actuator behavior, battery voltage, command delays, friction and even gear backlash. That helps make the learned policy work when it moves from simulation to the physical robot. The repo includes policies for walking, fall recovery, sitting, standing, kicking, ground picking and even roller skating. Train in simulation. Test the behavior. Export the policy. Run it on a real robot.

The coolest part of Microduck might not be the robot. It's how it learns to move. This repo shows the full reinforcement learning pipeline behind Microduck. The robot learns in simulation using MuJoCo, PPO and GPU-based training, then the trained policy is exported to ONNX and deployed on the real robot. But the real challenge is sim-to-real. The simulation models things like actuator behavior, battery voltage, command delays, friction and even gear backlash. That helps make the learned policy work when it moves from simulation to the physical robot. The repo includes policies for walking, fall recovery, sitting, standing, kicking, ground picking and even roller skating. Train in simulation. Test the behavior. Export the policy. Run it on a real robot.

Praveen Kumar Verma

136,567 Aufrufe • vor 15 Tagen

𝗗𝗮𝘆𝘀, 𝗻𝗼𝘁 𝗺𝗼𝗻𝘁𝗵𝘀. 𝗧𝗵𝗮𝘁'𝘀 𝗵𝗼𝘄 𝗹𝗼𝗻𝗴 𝗶𝘁 𝘁𝗮𝗸𝗲𝘀 𝘁𝗼 𝗴𝗲𝘁 𝗻𝗲𝘄 𝗵𝗮𝗿𝗱𝘄𝗮𝗿𝗲 𝗿𝘂𝗻𝗻𝗶𝗻𝗴 𝗼𝗻 𝗡𝗲𝘂𝗿𝗮𝗰𝗼𝗿𝗲. Get started with our Meta Quest teleop, open source on GitHub, and start collecting data on day one. Neuracore is hardware agnostic by design. OpenArm is the latest addition to our growing list of supported platforms, and like every embodiment we integrate, the code is open for the community to pick up and build on. The OpenArm repository is landing in the next couple of weeks. With Neuracore, teams can skip the integration slog and get straight to the interesting part: collecting data, training policies, and deploying to the real world. Get started for free today: Access our Github here:

𝗗𝗮𝘆𝘀, 𝗻𝗼𝘁 𝗺𝗼𝗻𝘁𝗵𝘀. 𝗧𝗵𝗮𝘁'𝘀 𝗵𝗼𝘄 𝗹𝗼𝗻𝗴 𝗶𝘁 𝘁𝗮𝗸𝗲𝘀 𝘁𝗼 𝗴𝗲𝘁 𝗻𝗲𝘄 𝗵𝗮𝗿𝗱𝘄𝗮𝗿𝗲 𝗿𝘂𝗻𝗻𝗶𝗻𝗴 𝗼𝗻 𝗡𝗲𝘂𝗿𝗮𝗰𝗼𝗿𝗲. Get started with our Meta Quest teleop, open source on GitHub, and start collecting data on day one. Neuracore is hardware agnostic by design. OpenArm is the latest addition to our growing list of supported platforms, and like every embodiment we integrate, the code is open for the community to pick up and build on. The OpenArm repository is landing in the next couple of weeks. With Neuracore, teams can skip the integration slog and get straight to the interesting part: collecting data, training policies, and deploying to the real world. Get started for free today: Access our Github here:

Neuracore

63,312 Aufrufe • vor 4 Monaten

The quadruped you can assemble yourself. Stella is an educational quadruped robot developed by Ahead. Designed for hands-on learning and self-assembly, the robot uses durable 3D-printed components. Ideal for all education levels, it is easy to repair, infinitely extendable, and equipped with advanced hardware and software. Despite its compact design, Stella is versatile, capable of operating in various environments and even carrying payloads like an optional robotic arm. A powerful tool for exploring robotics.

The quadruped you can assemble yourself. Stella is an educational quadruped robot developed by Ahead. Designed for hands-on learning and self-assembly, the robot uses durable 3D-printed components. Ideal for all education levels, it is easy to repair, infinitely extendable, and equipped with advanced hardware and software. Despite its compact design, Stella is versatile, capable of operating in various environments and even carrying payloads like an optional robotic arm. A powerful tool for exploring robotics.

Circuit

23,215 Aufrufe • vor 1 Jahr

Humanoid robots are cool. But most of them aren’t ready for real-world work. X-Humanoid just launched Embodied Tien Kung 3.0 - a full-size humanoid robot built to actually operate in industrial and commercial environments. What makes it different? • Strong, high-torque joints for heavy tasks • Can move dynamically and stay stable • Handles complex motions (even over obstacles) • Millimeter-level precision for detailed work It runs on the Wise KaiWu AI platform, which allows the robot to see, think, and act in a continuous loop with less human control and support for multi-robot collaboration. It also supports ROS2, MQTT, and TCP/IP, and offers more open hardware + software interfaces to make development easier for teams. The goal is simple: make humanoid robots practical, easier to build on, and ready for real-world use. Visit: Check out the official launch video below to see what it can do! 👇 #Robotics #HumanoidRobot #AI

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Chidanand Tripathi

69,604 Aufrufe • vor 6 Monaten

Open-source dexterous hands with fingertip sensors! 🪬 ORCA Dexterity just released three dexterous hand models. Their mission: is to democratize robotic hand dexterity. They're sharing progress on exceptional, low-cost hardware and a software layer from low-level control to robotic hand learning. This is the open-source approach to dexterous manipulation. It has 83 taxels per finger with 0.1 N force detection which pretty is impressive for an open-source design. Tactile sensing is critical for dexterous manipulation, knowing contact forces enables gentle grasping, slip detection, and force-controlled assembly. Also 700g weight for the lite version makes it practical for mounting on robot arms without exceeding payload limits. Lower weight means faster movements and lower torque requirements. Open hardware accelerates robotics by letting researchers and builders modify designs for their specific needs without starting from scratch! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Open-source dexterous hands with fingertip sensors! 🪬 ORCA Dexterity just released three dexterous hand models. Their mission: is to democratize robotic hand dexterity. They're sharing progress on exceptional, low-cost hardware and a software layer from low-level control to robotic hand learning. This is the open-source approach to dexterous manipulation. It has 83 taxels per finger with 0.1 N force detection which pretty is impressive for an open-source design. Tactile sensing is critical for dexterous manipulation, knowing contact forces enables gentle grasping, slip detection, and force-controlled assembly. Also 700g weight for the lite version makes it practical for mounting on robot arms without exceeding payload limits. Lower weight means faster movements and lower torque requirements. Open hardware accelerates robotics by letting researchers and builders modify designs for their specific needs without starting from scratch! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

38,094 Aufrufe • vor 6 Monaten

More and more humanoid robot kiosks are appearing in China. Yesterday, I passed by a subway entrance in Guangzhou and experienced a retail kiosk operated by a humanoid robot again, buying a bottle of water. The process was the same: select items on a screen, scan a QR code for mobile payment, and the humanoid robot retrieves the product. (However, it didn't interact with me at all.) I looked it up, and the wheeled humanoid robot is named S1, from AutoLife Robotics in Shenzhen. It uses omnidirectional wheels for movement and a lifting body. It's 1-1.6m tall, weighs 72kg, and has a 10-hour battery life. A single arm can carry 3-5kg. Furthermore, this humanoid robot is suitable for lightweight tasks in retail, convenience stores, supermarkets, and warehouse sorting.

More and more humanoid robot kiosks are appearing in China. Yesterday, I passed by a subway entrance in Guangzhou and experienced a retail kiosk operated by a humanoid robot again, buying a bottle of water. The process was the same: select items on a screen, scan a QR code for mobile payment, and the humanoid robot retrieves the product. (However, it didn't interact with me at all.) I looked it up, and the wheeled humanoid robot is named S1, from AutoLife Robotics in Shenzhen. It uses omnidirectional wheels for movement and a lifting body. It's 1-1.6m tall, weighs 72kg, and has a 10-hour battery life. A single arm can carry 3-5kg. Furthermore, this humanoid robot is suitable for lightweight tasks in retail, convenience stores, supermarkets, and warehouse sorting.

CyberRobo

52,565 Aufrufe • vor 6 Monaten

Booster Robotics has launched Booster Studio, the first IDE built specifically for embodied AI. > Booster Studio features code editing, high-precision simulation, real-robot debugging, and real-world deployment. > It shortens the path from the first idea to the working hardware, with the build, test, and deployment loop living in a single environment rather than scattered across separate tools. Vibe Robotics 👀

Booster Robotics has launched Booster Studio, the first IDE built specifically for embodied AI. > Booster Studio features code editing, high-precision simulation, real-robot debugging, and real-world deployment. > It shortens the path from the first idea to the working hardware, with the build, test, and deployment loop living in a single environment rather than scattered across separate tools. Vibe Robotics 👀

🚨 AI News | TestingCatalog

21,276 Aufrufe • vor 2 Monaten

Tired of teleoperation? One human video → 1,000s of robot demos. (📍GitHub ) Scaling Robot Data Without Dynamics Simulation or Robot Hardware Real2Render2Real (R2R2R) is a new way to scale robot data without physics simulation or hardware. You take a phone scan + a single monocular human demo. It tracks the motion, renders photorealistic scenes, and generates diverse, robot-agnostic trajectories ready for training. > No teleop, no sim, no robot, just a phone and a video > Train VLA models and diffusion policies directly on the output > Supports multiple robot embodiments with kinematic consistency > 1000s of demos in 1/27 the time of real-world collection Thank you, Max Fu, for sharing!! Project: Paper: Code coming soon: It shows that with the right pipeline, you can scale robot learning data without touching a robot. One of the most interesting directions in scalable robotics today. —— Weekly robotics and AI insights. Subscribe free:

Tired of teleoperation? One human video → 1,000s of robot demos. (📍GitHub ) Scaling Robot Data Without Dynamics Simulation or Robot Hardware Real2Render2Real (R2R2R) is a new way to scale robot data without physics simulation or hardware. You take a phone scan + a single monocular human demo. It tracks the motion, renders photorealistic scenes, and generates diverse, robot-agnostic trajectories ready for training. > No teleop, no sim, no robot, just a phone and a video > Train VLA models and diffusion policies directly on the output > Supports multiple robot embodiments with kinematic consistency > 1000s of demos in 1/27 the time of real-world collection Thank you, Max Fu, for sharing!! Project: Paper: Code coming soon: It shows that with the right pipeline, you can scale robot learning data without touching a robot. One of the most interesting directions in scalable robotics today. —— Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

42,864 Aufrufe • vor 7 Monaten

VLAI Robotics Launches High-Dexterity Dual-Arm Robot Starting at ~$5,500 USD VLAI Robotics, utilizing the open-source design of Japan’s OpenArm team, has introduced a high-dexterity, low-cost bimanual robotic system. The product is priced from 39,900 RMB (approximately 5,500 USD), making high-level research tools accessible to institutions and developers. The robot features a human-scale, arm-hand integrated design with up to 16 DOF (8 DOF per arm, including the gripper). It can handle a dual-arm peak payload of 12 kg while maintaining high precision. A key breakthrough is its ability to replicate human upper limb movement trajectories, which enhances data quality for imitation learning and remote operation. VLAI Robotics handled the domestic engineering, manufacturing, and VLA (Vision-Language-Action) algorithm integration, with quality control organized according to the strict standards of the OpenArm R&D framework. The robot is highly adaptable for research, education, and Physical AI training, supporting easy expansion for features like VR teleoperation.

VLAI Robotics Launches High-Dexterity Dual-Arm Robot Starting at ~$5,500 USD VLAI Robotics, utilizing the open-source design of Japan’s OpenArm team, has introduced a high-dexterity, low-cost bimanual robotic system. The product is priced from 39,900 RMB (approximately 5,500 USD), making high-level research tools accessible to institutions and developers. The robot features a human-scale, arm-hand integrated design with up to 16 DOF (8 DOF per arm, including the gripper). It can handle a dual-arm peak payload of 12 kg while maintaining high precision. A key breakthrough is its ability to replicate human upper limb movement trajectories, which enhances data quality for imitation learning and remote operation. VLAI Robotics handled the domestic engineering, manufacturing, and VLA (Vision-Language-Action) algorithm integration, with quality control organized according to the strict standards of the OpenArm R&D framework. The robot is highly adaptable for research, education, and Physical AI training, supporting easy expansion for features like VR teleoperation.

RoboHub🤖

12,961 Aufrufe • vor 10 Monaten

We are excited to announce the release of a new OpenArm teleoperation device: KER (Kinematic Equivalent Replica). This is a lightweight leader device that shares the exact same joint structure as OpenArm 2.0. KER uses only encoders for each joint, no motors, allowing for smooth and easy operation with zero resistance. Every joint maps 1:1 to OpenArm 2.0, so no coordinate transforms are needed. This release marks the completion of the OpenArm 2.0 ecosystem. KER, OpenArm, and the Cell are all open source and are ready to be used in state-of-the-art reproducible research! 🦾 #OpenArm #OpenSource #Robotics

We are excited to announce the release of a new OpenArm teleoperation device: KER (Kinematic Equivalent Replica). This is a lightweight leader device that shares the exact same joint structure as OpenArm 2.0. KER uses only encoders for each joint, no motors, allowing for smooth and easy operation with zero resistance. Every joint maps 1:1 to OpenArm 2.0, so no coordinate transforms are needed. This release marks the completion of the OpenArm 2.0 ecosystem. KER, OpenArm, and the Cell are all open source and are ready to be used in state-of-the-art reproducible research! 🦾 #OpenArm #OpenSource #Robotics

Enactic

113,415 Aufrufe • vor 2 Monaten

🔥 Community spotlight! Haixuan Tao built XoQ — a robot virtualization library that lets you connect to OpenArm from any OS, including macOS and even the web browser! Works with LeRobot for teleoperation. This is what open source robotics is all about 🤖

🔥 Community spotlight! Haixuan Tao built XoQ — a robot virtualization library that lets you connect to OpenArm from any OS, including macOS and even the web browser! Works with LeRobot for teleoperation. This is what open source robotics is all about 🤖

Enactic

21,271 Aufrufe • vor 6 Monaten

For my final year project in mechatronics engineering at waterloo, I made the worlds first affordable robot kit. Introducing, the Bracket Bot Kit. A $500 robot kit that comes with everything you need to get started in robotics. We are hosting a Hackathon to get feedback on the kit. 40 teams will get 40 robots and compete in challenges! -More details below

For my final year project in mechatronics engineering at waterloo, I made the worlds first affordable robot kit. Introducing, the Bracket Bot Kit. A $500 robot kit that comes with everything you need to get started in robotics. We are hosting a Hackathon to get feedback on the kit. 40 teams will get 40 robots and compete in challenges! -More details below

brian-machado-high-inference

107,857 Aufrufe • vor 1 Jahr

I placed 🥈 2nd in the LeHome Challenge (at IEEE ICRA 2026) earlier this month, and before that I was 🥇 1st of 62 teams in the simulation round. Now I am sharing my solution — with a detailed logic walkthrough and open-source code. The task was to teach a cheap two-armed robot to fold different garments in simulation and on a real robot. I trained a VLA policy with an RL loop to make it work. Let's break it down 👇

I placed 🥈 2nd in the LeHome Challenge (at IEEE ICRA 2026) earlier this month, and before that I was 🥇 1st of 62 teams in the simulation round. Now I am sharing my solution — with a detailed logic walkthrough and open-source code. The task was to teach a cheap two-armed robot to fold different garments in simulation and on a real robot. I trained a VLA policy with an RL loop to make it work. Let's break it down 👇

Ilia

21,948 Aufrufe • vor 2 Monaten