Shangqun Yu

about me

prof_pic.jpg

LGRC

740 N Pleasant St

Amherst, MA 01002

Hello and welcome to my website! I’m Shangqun, a PhD student in Computer Science at UMass. My research focuses on enabling legged robots to walk, run, and jump using model-based optimal control and model-free reinforcement learning methods.

news

Sep 09, 2024 Our paper submitted to 2024 Humanoids got accepted!
Jun 30, 2024 Our paper submitted to 2024 IROS got accepted!
Apr 04, 2024 Our paper submitted to 2024 Ubiquitous Robots got accepted!

selected publications

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    Learning Generic and Dynamic Locomotion of Humanoids Across Discrete Terrains
    Shangqun Yu, Nisal Perera, Daniel Marew, and 1 more author
    In 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids), 2024
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    StaccaToe: A Single-Leg Robot that Mimics the Human Leg and Toe
    Nisal Perera, Shangqun Yu, Daniel Marew, and 6 more authors
    In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
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    Impedance Matching: Enabling an RL-Based Running Jump in a Quadruped Robot
    Neil Guan, Shangqun Yu, Shifan Zhu, and 1 more author
    In 2024 21st International Conference on Ubiquitous Robots (UR), 2024
  4. pat.gif
    Integration of Riemannian Motion Policy with Whole-Body Control for Collision-Free Legged Locomotion
    Daniel Marew, Misha Lvovsky, Shangqun Yu, and 2 more authors
    In 2023 IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids), 2023
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    Dynamic Object Avoidance using Event-Data for a Quadruped Robot
    Shifan Zhu, Nisal Perera, Shangqun Yu, and 2 more authors
    IROS IPPC Workshop, 2023