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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

2,896 subscribers

16,480 просмотров • 7 месяцев назад •via X (Twitter)

Наука и технологии #Robotics #OpenSource #AgileXRobotics #PiPER #NYU

Anya Rossi• Live Now

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Комментарии: 7

Фото профиля KZŁi1⚡

KZŁi1⚡7 месяцев назад

@nyuniversity Cut it down to 1K, scale up to 1mil X Billionaire.

Фото профиля אחים לרפורמה

אחים לרפורמה7 месяцев назад

@nyuniversity באיזה שפה ניתן לתכנת את הרובוט הנ"ל, @grok ?

Фото профиля Sammy

Sammy7 месяцев назад

@nyuniversity This is the new future. I like it.

Фото профиля LightShift Studio

LightShift Studio7 месяцев назад

@nyuniversity Hey there, Insta creator extraordinaire!

Фото профиля Jordon

Jordon7 месяцев назад

@nyuniversity send it to Mars

Фото профиля Nurvai - The Data Layer for Physical AI

Nurvai - The Data Layer for Physical AI7 месяцев назад

@nyuniversity Building a platform like this at a ~$10k BOM is huge. Accessibility is critical for the future of robotics, and projects like this meaningfully lower the barrier to entry. Congrats on the design!

Фото профиля Yaya Labs

Yaya Labs7 месяцев назад

@nyuniversity Some of you have never dated an open-source mobile manipulator, and it shows.

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34,151 просмотров • 6 месяцев назад

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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 →

Lukas Ziegler

59,669 просмотров • 4 месяцев назад

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Lukas Ziegler

46,521 просмотров • 1 год назад

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 просмотров • 4 месяцев назад