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Haochen Shi

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@HaochenShi74

CS PhD at Stanford
Stanford, CA hshi74.github.io Joined January 2021
254 Following 2.5K Followers 189 Posts

Latest posts 5

Haochen Shi Verified account @HaochenShi74
The speed, subconscious movements, and cross-embodiment results are super impressive. Big congrats to the team 🔥🔥🔥
Reward AI @RewardAI_ Sep 14
Introducing OM-1, our first robot foundation model, zero-shot generalizing to any robot: table-top arms, industrial arms and humanoids.
- learned directly from human manipulation data
- no teleop/robot data
- close to human-level dexterity and efficiency
- multi-robot collab
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Haochen Shi Verified account @HaochenShi74
This is exactly the kind of "transformer" I imagine. Creatively extending the otherwise limited workspace of a robot arm in a way that just makes sense. A perfect example of a brilliant idea + amazing execution. Enjoyed collaborating with the team a lot!
Mingyu Ding @dingmyu Jul 30
🤖 A robot that transforms between humanoid and dexterous hand?

Introducing Handroid, a reconfigurable robot with a shared 27-DoF body 🖐️→🚶→🖐️:
• The same joints, different roles
• Expanded robot task space
• Shared sensing and control interfaces

handroid.org
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Haochen Shi Verified account @HaochenShi74
As long as your robot uses modern servos (e.g., Dynamixel) or QDD motors, even without current sensing or current control, our method still works! It is truly embodiment-agnostic and democratizes compliant control for low-cost robots. Try it out here: github.com/real-stanford/…
github.com GitHub - real-stanford/minimalist_compliance_control Contribute to real-stanford/minimalist_compliance_control development by creating an account on GitHub.
Haochen Shi Verified account @HaochenShi74 Mar 3
Excited to release Minimalist Compliance Control! We achieve robust, compliant robot interaction across robot arms, dexterous hands, and humanoids, with NO force sensors or learning. If you’re wondering what remains, please see the thread below😉
Website: …nimalist-compliance-control.github.io
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