Changhao Wang Profile
Changhao Wang

@ChanghaoWang78

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Meta FAIR Robotics, Ph.D. UC Berkeley

Menlo Park
Joined August 2021
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@HaozhiQ
Haozhi Qi
4 days
Human videos are great for robot learning, but they critically lack the sense of touch needed for complex manipulation tasks! Introducing OSMO, an open-source tactile glove that captures rich contact signals during human demonstrations for direct, successful transfer to robots.
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@ChanghaoWang78
Changhao Wang
26 days
Massive credit to @irmakkguzey for designing and implementing the entire pipeline. Seeing robots learn dexterous skills purely from Aria-glass footage still feels a bit surreal 😁
@irmakkguzey
Irmak Guzey
26 days
Dexterous manipulation by directly observing humans - a dream in AI for decades - is hard due to visual and embodiment gaps. With simple yet powerful hardware - Aria 2 glasses πŸ‘“ - and our new work AINA πŸͺž, we are now one significant step closer to achieving this dream.
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@ChanghaoWang78
Changhao Wang
1 month
We believe dexterity naturally comes from humans. SPIDER offers an efficient way to convert large-scale human video data into dynamically feasible robot data. Check out our website: https://t.co/ZzcnUe3RcQ Code will be released soon:
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github.com
A general physic-based retargeting framework. . Contribute to jc-bao/spider development by creating an account on GitHub.
@ChaoyiPan
Chaoyi Pan
1 month
πŸ•ΈοΈ Introducing SPIDER β€” Scalable Physics-Informed Dexterous Retargeting! A dynamically feasible, cross-embodiment retargeting framework for BOTH humanoids πŸ€– and dexterous hands βœ‹. From human motion β†’ sim β†’ real robots, at scale. πŸ”— Website: https://t.co/ieZfG2Q4L0 🧡 1/n
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@zhaohengyin
Zhao-Heng Yin
6 months
Just open-sourced Geometric Retargeting (GeoRT) β€” the kinematic retargeting module behind DexterityGen. Includes tools for importing custom hands. Give it a try: https://t.co/MxSuitRaDM A software by @berkeley_ai and @AIatMeta. More coming soon.
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@ChanghaoWang78
Changhao Wang
10 months
We consider teleoperation as a prompting problem, where the human action serves as a prompt to our foundation model, Dexterity Gen. Our model then generates the optimal action that ensures both stability and preservation of the human intent. Checkout our paper for more details.
@zhaohengyin
Zhao-Heng Yin
10 months
We introduce Dexterity Gen (DexGen), a foundation controller that enables unprecedented dexterous manipulation capabilities. For the first time, it allows human teleoperation of tasks such as using a pen, screwdriver, and syringe. Developed by @berkeley_AI and @MetaAI. A Thread.
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