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Lai Wei
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Lai Wei

@laiiwei
MS CSE student @UCSanDiego | Robotics learning
La Jolla, CA
i-am-future.github.io
Joined February 2025
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  • Pinned
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    Lai Wei
    @laiiwei
    Nov 20, 2025
    We just open-sourced the fingertip design files for our latest DexHand project: ๐Ÿ‘‰x.com/jianglong_ye/sโ€ฆ! ๐ŸŽ‰ Check out our new video to see the robot hand pick up a coin๐Ÿช™, battery๐Ÿ”‹, and nut๐Ÿ”ฉ with a simple, near-zero-cost 3D printing fingertip. You can have your own one
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    Jianglong Ye
    @jianglong_ye
    Nov 17, 2025
    How do we make dexterous hands handle both power and precision tasks with ease? ๐Ÿซณ๐Ÿ‘Œ๐Ÿซฐ We introduce Power to Precision (๐Ÿ’ชโžก๏ธ๐ŸŽฏ), our new paper that optimizes both control and fingertip geometry to unlock robust manipulation from power grasp to fine-grained manipulations. With
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    Lai Wei
    @laiiwei
    Mar 11
    This is a really cool paper. A shared latent action space across multiple dexterous hands, plus better transfer to unseen hand-task combinations, is exactly the kind of abstraction we need for scalable robot learning. Congrats to @LuccaChiang !
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    Guangqi Jiang
    @LuccaChiang
    Mar 10
    Ever want to have a single policy to control diverse robots as well as different dexterous hands, or to observe the emergent behavior under cross embodiment training? Introducing our #CVPR2026 paper XL-VLA, Cross-Hand Latent Representation for Vision-Language-Action Models.
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    Lai Wei
    @laiiwei
    Feb 5
    Very exciting work!๐Ÿคฉ๐Ÿคฉ๐Ÿคฉ
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    Changwei Jing
    @cwj99770123
    Feb 4
    Can we bridge the Sim-to-Real gap in complex manipulation without explicit system ID? ๐Ÿค– Presenting Contact-Aware Neural Dynamics โ€” a diffusion-based framework that grounds simulation with real-world touch. Implicit Alignment: No tedious parameter tuning. Tactile-Driven:
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    Lai Wei
    @laiiwei
    Nov 24, 2025
    Checkout our new fancy demo about In-N-On ๐Ÿ™Œ๐Ÿ‘‡
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    Xiongyi Cai
    @XiongyiCai
    Nov 23, 2025
    How do you teach a robot to do something it has never seen before? ๐Ÿค– With human data. Our new Human0 model is co-trained on human and humanoid data. It allows the robot to understand a novel language command and execute it perfectly in the wild without prior practice.
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    Lai Wei
    @laiiwei
    Nov 21, 2025
    Proud to share our latest work In-N-On, with my amazing labmates! Check out the first-author thread below ๐Ÿ‘‡
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    Xiongyi Cai
    @XiongyiCai
    Nov 21, 2025
    A large human behavior model. Introducing In-N-On, our latest findings in scaling egocentric data for humanoids. 1. Pre-training and post-training with human data 2. 1,000+ hours of in-the-wild data and 20+ hours of on-task data with accurate action labels Website:
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