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✨ Meet YOR: Open-Source Bimanual Mobile Manipulator from New York University Fully open-source mobile manipulator with dual 6-DoF PiPER arms by AgileX Robotics, BOM cost only ~$10k! 🌐 #Robotics #OpenSource #AgileXRobotics #PiPER #NYU

AgileX Robotics

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16,446 次观看 • 6 个月前 •via X (Twitter)

科学技术 #Robotics #OpenSource #AgileXRobotics #PiPER #NYU

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Why buy a robot when you can build your own? Meet YOR, our new open-source bimanual mobile manipulator robot – built for researchers and hackers alike for only ~$10k. 🧵👇

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The $600 Open-Source Home Robot🤖 Meet AlohaMini, the new dual-arm mobile robot designed to make real-world manipulation and embodied AI research accessible. This bot is fully 3D-printable and aimed at home builders and research labs. Key Features: 💰 Cost: The Bill of Materials (BOM) totals around $600 (USD) for self-printed parts, making it highly accessible. 🦾 Hardware: Dual-arm mobile base with a motorized vertical lift (0–60 cm travel). 💻 Software: Completely open-source hardware and software, compatible out-of-the-box with the LeRobot framework. The platform supports a fully 3D-printed Mini and a stiffer Pro model (hybrid materials). It assembles in approximately 60 minutes. 🔗 GitHub Open-Source Code & Files:

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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 次观看 • 5 个月前

What if building a mobile dual-arm robot for your home took less than 7 hours and cost under $700? [Github ⬇️ Bookmark for later 📍] XLeRobot… a low-cost, open-source robot for everyday tasks. Built with off-the-shelf parts and powered by the LeRobot ecosystem, it’s made for hackers, students, and researchers. ✅ Built from Lekiwi, SO100, an IKEA cart, and an Anker battery ✅ Fully LeRobot compatible with tons of pre-trained models ✅ Easy to assemble in under 7 hours with global parts ✅ Supported by a 5,000+ member community XLeRobot is more than a fun weekend build, it’s a serious step toward affordable home robotics. Thank you, Vector Wang for sharing!!! 🫶 Github:

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Ilir Aliu

32,099 次观看 • 1 年前

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29,174 次观看 • 5 个月前

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34,151 次观看 • 4 个月前

Awesome Robotics! 💾 Building your own robot just got a lot easier. MathWorks have released an open-source GitHub repository packed with robotics resources for anyone interested in getting hands-on. The repo includes examples for robot arms, ground vehicles, and drones, with projects that show how to connect with ROS and ROS2 or even deploy Simulink models directly as ROS nodes. There are also more advanced demos, like modeling off-road environments and testing navigation algorithms in photorealistic simulations. Everything is well-documented, with tutorials and links that make it easy to go from concept to prototype. 📑 Whether you’re a student, researcher, or just curious, there’s material here for every level. And since it’s an open community project, you can not only explore but also share your own contributions. For anyone looking to learn robotics by doing, this is a solid place to start! Here’s the link: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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Lukas Ziegler

59,232 次观看 • 3 个月前

🚨 BREAKING: German robot maker NEURA Robotics has raised €120 million in Series B funding to advance its cognitive robotics technology. Good to see the Europe robotics market moving! 🇪🇺 And yes I know this is news from mid-January, sometimes you have to be like Internet Explorer! Their product lineup includes collaborative arms, autonomous mobile robots, and humanoids. The funding will support new product development and the growth of its Neuraverse ecosystem, an operating system and marketplace for robotic skills. David Reger believes cognitive robots could become bigger than smartphones, with NEURA leading the way as Germany’s only humanoid robotics company. You can meet this and many other robots at the internationalhumanoidforum in Biel on the 20th & 21st of February! 🇨🇭 I also will be there, and I am happy to talk about the future of robotics!

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Lukas Ziegler

46,521 次观看 • 1 年前

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

17,092 次观看 • 3 个月前

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Lukas Ziegler

84,272 次观看 • 10 个月前