
Haochen Shi
@HaochenShi74
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2nd year PhD student at Stanford
Stanford, CA
Joined January 2021
🚨 Just a heads-up — it looks like @SongShuran’s account may have been hacked. Please avoid clicking on any suspicious links from the account until it’s resolved.
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Witnessed the process of @Haoyu_Xiong_ building up the entire system from scratch. Amazing to see the outcomes! Robots operating in clustered environments with many occlusions are still unaddressed. Your robot really needs a neck for that, and it can be as many as 6 DoFs 🐍.
Your bimanual manipulators might need a Robot Neck 🤖🦒. Introducing Vision in Action: Learning Active Perception from Human Demonstrations. ViA learns task-specific, active perceptual strategies—such as searching, tracking, and focusing—directly from human demos, enabling robust
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RT @GeneralistAI_: Today we're excited to share a glimpse of what we're building at Generalist. As a first step towards our mission of maki….
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RT @mengdaxu__: Can we collect robot dexterous hand data directly with human hand?. Introducing DexUMI:. 0 teleoperation and 0 re-targeting….
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Imo, compliance has to be there when we eventually deploy robots around us to be aware of external forces. Impedance reference tracking looks elegant and effective! Big congrats on the progress!.
🤖💥 Want your robot to be compliant or forceful at your command?. FACET lets your robot follow gentle nudges or win a tug of war — with a single force-adaptive policy conditioned on desired stiffness as command input!. 📽️👇 Website:
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RT @BoAi0110: 🧠 Can a single robot policy control many, even unseen, robot bodies?. We scaled training to 1000+ embodiments and found: More….
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RT @wenlong_huang: How to scale visual affordance learning that is fine-grained, task-conditioned, works in-the-wild, in dynamic envs?. Int….
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The whole body teleoperation reminds me of Gundam pilots! Congrats Yanjie 🥳.
🤖Introducing TWIST: Teleoperated Whole-Body Imitation System. We develop a humanoid teleoperation system to enable coordinated, versatile, whole-body movements, using a single neural network. This is our first step toward general-purpose robots. 🌐
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Another win for open-sourcing! 🚀.
Humanoid robots should not be black boxes 🔒 or budget-busters 💸!. Meet Berkeley Humanoid Lite!.▹ 100% open source & under $5k.▹ Prints on entry-level 3D printers—break it? fix it!.▹ Modular cycloidal-gear actuators—hack & customize towards your own need.▹ Off-the-shelf
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RT @YunzhuLiYZ: 📢 Our lab has been exploring 3D world models for years — and we’re thrilled to share **PhysTwin**: a milestone that reconst….
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Now all the ROBOTIS & DYNAMIXEL parts for ToddlerBot are available as a bundle at:
Time to democratize humanoid robots!.Introducing ToddlerBot, a low-cost ($6K), open-source humanoid for robotics and AI research. Watch two ToddlerBots seamlessly chain their loco-manipulation skills to collaborate in tidying up after a toy session.
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Wow, these real-world tasks are so realistic!.
🤖 Ever wondered what robots need to truly help humans around the house?. 🏡 Introducing 𝗕𝗘𝗛𝗔𝗩𝗜𝗢𝗥 𝗥𝗼𝗯𝗼𝘁 𝗦𝘂𝗶𝘁𝗲 (𝗕𝗥𝗦)—a comprehensive framework for mastering mobile whole-body manipulation across diverse household tasks!. 🧹🫧 From taking out the trash to
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A great example of elegance of the method leads to superior performance!.
Video generation is powerful but too slow for real-world robotic tasks. How can we enable both video and action generation while ensuring real-time policy inference?. Check out our work on the Unified Video Action Model (UVA) to find out!.(1/7)
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RT @bi1nwo: Want a haptic force feedback glove? .Meet DOGlove! 🖐✨ A precise, low-cost (~$600), open-source glove for dexterous manipulation….
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The simulator is MuJoCo and the locomotion sim2real is done with MJX. Thanks to the great MuJoCo team @kevin_zakka @the_real_btaba 😉.
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A huge thanks to my incredible collaborator, @KenWangWeizhuo—this wouldn’t be possible without his hardware expertise. Grateful to my amazing advisors, @SongShuran and C. Karen Liu, for their invaluable guidance and unwavering support.
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