Shao Yuan
Research / Projects / Art
Research
  • A demonstrator's choices branching along an episode, with the actions recorded by sliding window and vine data collection.
    Explicitly capturing demonstrator multi-modality for distillation into diffusion policies
    • Shao Yuan Chew Chia, Rebecca H. Jiang, Abhinav Agarwal, Andreas Hofmann, Leslie Pack Kaelbling, Russ Tedrake

    To make diffusion policies as multi-modal as their demonstrator, collect multiple expert actions from the same observation.

    Pretrain to Adapt Workshop at the 10th Conference on Robot Learning (CoRL 2026)


    • workshop
  • GCS*
    GCS*: Forward Heuristic Search on Implicit Graphs of Convex Sets
    • Shao Yuan Chew Chia, Rebecca H. Jiang, Bernhard Paus Graesdal, Leslie Pack Kaelbling, Russ Tedrake

    A complete and optimal algorithm inspired by A* for finding shortest paths on Graphs of Convex Sets.

    Workshop on the Algorithmic Foundations of Robotics 2024


    • conference
  • A point robot pushing a 2D T-shaped object to a target location.
    Towards Tight Convex Relaxations for Contact-Rich Manipulation
    • Bernhard Paus Graesdal, Shao Yuan Chew Chia, Tobia Marcucci, Savva Morozov, Alexandre Amice, Pablo A. Parrilo, Russ Tedrake

    We introduce a motion planning method for planning optimal contact-rich robot trajectories through the use of tight convex relaxations, and demonstrate its effectiveness on a non-prehensile manipulation task in the plane where a state-of-the-art usually fails.

    Robotics: Science and Systems 2024


    • conference
© 2026 • Shao Yuan credits