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Zipeng Fu
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Zipeng Fu

@zipengfu
Stanford AI & Robotics PhD @StanfordAILab | Past: Google DeepMind, CMU
Palo Alto, CA
zipengfu.github.io
Joined February 2014
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  • Pinned
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    Zipeng Fu
    @zipengfu
    Jan 4, 2024
    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
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    Zipeng Fu
    @zipengfu
    Dec 23, 2024
    These are not legs. These are active suspension systems.
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    Unitree
    @UnitreeRobotics
    Dec 23, 2024
    Unitree B2-W Talent Awakening! 🥳 One year after mass production kicked off, Unitree’s B2-W Industrial Wheel has been upgraded with more exciting capabilities. Please always use robots safely and friendly. #Unitree #Quadruped #Robotdog #Parkour #EmbodiedAI #IndustrialRobot
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    Zipeng Fu
    @zipengfu
    Oct 16, 2024
    The first sim2real RL-based controller for Fourier GR1 to my knowledge. Using ROA. Congrats!
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    Zixuan Chen
    @C___eric417
    Oct 16, 2024
    Smooth behaviors is vital for successful sim2real transfer of RL policies. This is often achieved with smoothness rewards or low-pass filters, which are not easily differentiable and tend to require tedious tuning. We introduce Lipschitz-Constrained Policies (LCP), a simple and
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    Zipeng Fu
    @zipengfu
    Sep 30, 2024
    Introduce DoggyBot🐕series: quadrupeds can also do manipulation. It's a fruitful 4yr journey working on robot dogs from walking, to parkour, to now useful agility. We open-sourced everything. Hope others can build on our code and start a series of projects named "xxx DoggyBot".
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    Qi Wu
    @Qi_Wu577
    Sep 30, 2024
    Introducing Helpful DoggyBot🐕, a legged mobile manipulation system: - A quadruped with a mouth - Agile whole-body skills like climbing and tilting - Open-world object fetching using VLMs - No real-world training data required!
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    Zipeng Fu
    @zipengfu
    Jul 15, 2024
    - RL in sim to train a task-agnostic whole-body controller - imitation learning in real for task-specific policies Advancing robotics demands a thoughtful integration of solutions, rather than overreliance on any single approach Glad to witness this year-long project completed!
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    Huy Ha
    @haqhuy
    Jul 15, 2024
    I’ve been training dogs since middle school. It’s about time I train robot dogs too 😛 Introducing, UMI on Legs, an approach for scaling manipulation skills on robot dogs🐶It can toss, push heavy weights, and make your ~existing~ visuo-motor policies mobile!
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