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Zipeng Fu

@zipengfu • 13,249 subscribers

Stanford AI & Robotics PhD @StanfordAILab | Past: Google DeepMind, CMU

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Mobile ALOHA's hardware is very capable. We brought it home yesterday and tried more tasks! It can: - do laundry👔👖 - self-charge⚡️ - use a vacuum - water plants🌳 - load and unload a dishwasher - use a coffee machine☕️ - obtain drinks from the fridge and open a beer🍺 - open doors🚪 - play with pets🐱 - throw away trash - turn on/off a lamp💡 Project website: Co-lead Tony Zhao, advised by Chelsea Finn (amazing photographing from Qingqing Zhao )
2:37
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Mobile ALOHA's hardware is very capable. We brought it home yesterday and tried more tasks! It can: - do laundry👔👖 - self-charge⚡️ - use a vacuum - water plants🌳 - load and unload a dishwasher - use a coffee machine☕️ - obtain drinks from the fridge and open a beer🍺 - open doors🚪 - play with pets🐱 - throw away trash - turn on/off a lamp💡 Project website: Co-lead Tony Zhao, advised by Chelsea Finn (amazing photographing from Qingqing Zhao )

Zipeng Fu

2,977,272 views • 2 years ago

Introduce 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐋𝐎𝐇𝐀🏄 -- Learning! With 50 demos, our robot can autonomously complete complex mobile manipulation tasks: - cook and serve shrimp🦐 - call and take elevator🛗 - store a 3Ibs pot to a two-door cabinet Open-sourced! Co-led Tony Zhao, Chelsea Finn
0:49
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Introduce 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐋𝐎𝐇𝐀🏄 -- Learning! With 50 demos, our robot can autonomously complete complex mobile manipulation tasks: - cook and serve shrimp🦐 - call and take elevator🛗 - store a 3Ibs pot to a two-door cabinet Open-sourced! Co-led Tony Zhao, Chelsea Finn

Zipeng Fu

1,567,573 views • 2 years ago

Our 6ft humanoid HumanPlus at Stanford can autonomously put on a Nike skateboard shoe, tie shoelaces, stand up and walk. Using two transformers & dual RGB vision, it integrates two recipes of general robotics end-to-end: - imitating humans in real world - large-scale RL in sim
0:46
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Our 6ft humanoid HumanPlus at Stanford can autonomously put on a Nike skateboard shoe, tie shoelaces, stand up and walk. Using two transformers & dual RGB vision, it integrates two recipes of general robotics end-to-end: - imitating humans in real world - large-scale RL in sim

Zipeng Fu

245,139 views • 1 year ago

Introduce our #CoRL2023 (Oral) project: "Robot Parkour Learning" Using vision, our robots can climb over high obstacles, leap over large gaps, crawl beneath low barriers, squeeze through thin slits, and run. All done by one neural network running onboard. And it's open-source!
0:59
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Introduce our #CoRL2023 (Oral) project: "Robot Parkour Learning" Using vision, our robots can climb over high obstacles, leap over large gaps, crawl beneath low barriers, squeeze through thin slits, and run. All done by one neural network running onboard. And it's open-source!

Zipeng Fu

303,981 views • 2 years ago

Introduce HumanPlus - Shadowing part Humanoids are born for using human data. We build a real-time shadowing system using a single RGB camera and a whole-body policy for cloning human motion. Examples: - boxing🥊 - playing the piano🎹/ping pong - tossing - typing Open-sourced!
0:53
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Introduce HumanPlus - Shadowing part Humanoids are born for using human data. We build a real-time shadowing system using a single RGB camera and a whole-body policy for cloning human motion. Examples: - boxing🥊 - playing the piano🎹/ping pong - tossing - typing Open-sourced!

Zipeng Fu

230,117 views • 2 years ago

Introduce HumanPlus - Autonomous Skills part Humanoids are born for using human data. Imitating humans, our humanoid learns: - fold sweatshirts - unload objects from warehouse racks - diverse locomotion skills (squatting, jumping, standing) - greet another robot Open-sourced!
0:46
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Introduce HumanPlus - Autonomous Skills part Humanoids are born for using human data. Imitating humans, our humanoid learns: - fold sweatshirts - unload objects from warehouse racks - diverse locomotion skills (squatting, jumping, standing) - greet another robot Open-sourced!

Zipeng Fu

158,126 views • 2 years ago

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