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Kenny Shaw
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Kenny Shaw
@kenny__shaw
Incoming asst professor at UIUC MechSE. My research focuses on learning dexterity from humans as well as building low-cost LEAP Hands.
Pittsburgh PA
Joined June 2014
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  • Pinned
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    Kenny Shaw
    @kenny__shaw
    Nov 19, 2024
    Teaching bimanual robot hands to perform very complex tasks has been notoriously challenging. In our work, Bidex: Bimanual Dexterity for Complex Tasks, we’ve developed a low-cost system that completes a wide range of highly dexterous tasks in real-time. bidex-teleop.github.io
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    Kenny Shaw
    @kenny__shaw
    Oct 31, 2023
    How can robot hands learn to do kitchen tasks from safe, continual real-world interaction? In our new CoRL 2023 paper DEFT, we learn policy priors from human videos and use our soft robot hand to safely adapt the policy with real world practice. 1/
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    Kenny Shaw
    @kenny__shaw
    Sep 21, 2023
    Want to get into dexterous manipulation but are frustrated with no good hardware options? You should try LEAP Hand, our dexterous, durable, $2k robot hand that can be assembled in 3 hours. We even open-sourced our sim2real code! leaphand.com cs.cmu.edu/news/2023/leap…
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    Kenny Shaw
    @kenny__shaw
    Nov 9, 2023
    Visit us demoing at #CoRL2023 Poster 5 and afternoon demos today! @anag004 uses LEAP Hand for sim2real dexterous, functional grasping dexfunc.github.io @aditya__kannan uses DASH Hand to learn from internet videos and real-world fine-tuning dexterous-finetuning.github.io
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    Kenny Shaw
    @kenny__shaw
    Apr 13, 2024
    Happy to share that our paper, Videodex, was featured on the front page of IJRR for April 2024.😀 I believe learning from human videos for robot hands will be very important especially in the era of foundation models that need a lot of data. journals.sagepub.com/toc/ijra/43/4
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    Kenny Shaw
    @kenny__shaw
    May 15, 2024
    Cool work using our open source LEAP Hand on a small robot arm! Excited to see where your project goes!
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    Brian Smith
    @sirwart
    May 15, 2024
    Playing around with a modified version of the LEAP hand by @kenny__shaw. Still need to train it to shoot hoops on its own though
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    Kenny Shaw
    @kenny__shaw
    May 24, 2024
    Great investigative work by Toru and co! Gloves are definitely a great way to collect robot hand teleop data. Our lab has also been also building a big setup which we will demo and open-source at RSS 2024 :)
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    Toru
    @ToruO_O
    May 24, 2024
    A common question we get for HATO (toruowo.github.io/hato) is: can it be more dexterous? Yes! The first iteration of our system actually achieves this -- by capturing finger poses with mocap gloves and remapping them to robot hands. [video taken in late 2023 (with @YuZhang)]
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    Kenny Shaw
    @kenny__shaw
    May 5, 2024
    Interesting....same as our upcoming low-cost and open-sourced hand. 😉
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    Elon Musk
    X
    @elonmusk
    May 5, 2024
    Replying to @DrJimFan and @Tesla_Optimus
    The new Optimus hand later this year will have 22 DoF
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    Kenny Shaw
    @kenny__shaw
    Jan 26, 2024
    Autonomously opening ANY door in ANY environment is a very hard problem. We 1) Initialize our policy with VLM + priors and adapt continually to the real world using RL. 2) Develop robust, repeatable, low-cost hardware to unlock new robot performance
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    Haoyu Xiong
    @Haoyu_Xiong_
    Jan 26, 2024
    Introducing Open-World Mobile Manipulation 🦾🌍 – A full-stack approach for operating articulated objects in open-ended unstructured environments: Unlocking doors with lever handles/ round knobs/ spring-loaded hinges 🔓🚪 Opening cabinets, drawers, and refrigerators 🗄️ 👇
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    Kenny Shaw
    @kenny__shaw
    Dec 21, 2023
    Great results using our open-source LEAP Hand for functional grasping!
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    Ananye Agarwal
    @anag004
    Dec 21, 2023
    Robotic intelligence requires dexterous tool use, but generalizing across tools is hard. Our CoRL23 paper combines semantics (affordances) with low-level control (sim2real) to show functional grasping that generalizes to hammers, drills and more! dexfunc.github.io 1/n
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    Kenny Shaw
    @kenny__shaw
    Mar 14, 2024
    Great project using Mocap gloves to collect accurate human hand data that can transfer to our LEAP Hand. The autonomous results are great! Best of all, everything is open source and very inexpensive to replicate. Congrats @chenwang_j and SAIL team!!!
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    Chen Wang
    @chenwang_j
    Mar 14, 2024
    Can we use wearable devices to collect robot data without actual robots? Yes! With a pair of gloves🧤! Introducing DexCap, a portable hand motion capture system that collects 3D data (point cloud + finger motion) for training robots with dexterous hands Everything open-sourced
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    Kenny Shaw
    @kenny__shaw
    Mar 26, 2024
    Another great LEAP Hand paper with deformables! Build your own in only a few hours. Leaphand.com
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    Jun Yamada
    @junjungoal
    Mar 25, 2024
    We introduce D-Cubed, a novel trajectory optimisation method using a latent diffusion model trained from a task-agnostic play dataset, including only representative hand motions, to solve dexterous deformable object manipulation tasks! (1/N)
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    Kenny Shaw
    @kenny__shaw
    Mar 24, 2024
    Dynamixels are truly great. It's almost similar to what Python is in software: a great abstraction layer on actuation. It allows us to focus on the robot design and learning itself.
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    Alexander Koch
    @alexkoch_ai
    Mar 23, 2024
    Open-source robot arm for about $200. It uses five Dynamixel servo motors and weighs slightly over 100g (without the base). The design for a leader arm is included as well so that you can teleoperate it effectively. (Video is at 1x speed) github.com/AlexanderKoch-…
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    Kenny Shaw
    @kenny__shaw
    Apr 4, 2024
    Demo is all you need right now for the hype 😅
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    Aidan Gold
    @MrGoldBro
    Apr 3, 2024
    This has to be peak AI frenzy. Cognition Labs potentially raising at a $2B valuation, just weeks after announcing their $21M raise at $350M. Do they even have $1M in revenue?
    3K

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