
Zipeng Fu
@zipengfu • 13,249 subscribers
Stanford AI & Robotics PhD @StanfordAILab | Past: Google DeepMind, CMU
Videos

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 Fu2,977,272 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
Zipeng Fu245,139 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!
Zipeng Fu303,981 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!
Zipeng Fu230,117 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!
Zipeng Fu158,126 views • 2 years ago
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