Portrait of Yiting Chen

Yiting Chen 陈一霆

I am a Computer Science Ph.D. student at Rice University, advised by Prof. Kaiyu Hang in the Robotics and Physical Interactions Lab (RobotΠ Lab).

I work on scaling robotic dexterity via structurephysics, geometry, and heuristics, baked in as inductive bias, datasimulation, web video, and the mix that scales, learningreinforcement learning and world models, evaluationsim for the sanity check; the real world decides.

Previously, I obtained a B.Eng. from Wuhan University with Prof. Miao Li and an M.Sc. from Chalmers with Prof. Yasemin Bekiroglu. I also spent time at Amazon IRG and EPFL LASA.

Under review Humanoid Forceful Manipulation Zero-shot sim-to-real transfer of humanoid tactile policies
Under review Learning from Human Videos Turning human demonstration videos into robot dexterity
ManipulationNet Spotlight: Test Your Robot’s Skills in NIST’s Global Online Competition

News

Publications

See also my Google Scholar.

  1. B4P: Simultaneous Grasp and Motion Planning for Object Placement via Parallelized Bidirectional Forests and Path Repair

    Benjamin H. Leebron, Kejia Ren, Yiting Chen, Kaiyu Hang

    IROS 2025 · Hangzhou, China

  2. ARC-Calib: Autonomous Markerless Camera-to-Robot Calibration via Exploratory Robot Motions

    Podshara Chanrungmaneekul, Yiting Chen, Joshua T. Grace, Aaron M. Dollar, Kaiyu Hang

    IROS 2025 · Hangzhou, China

  3. rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding

    Howard H. Qian, Yiting Chen, Gaotian Wang, Podshara Chanrungmaneekul, Kaiyu Hang

    IROS 2025 · Hangzhou, China

Experience

Selected Honors & Awards

Service

I serve as the Technical Chair of ManipulationNet.

I serve as a reviewer for: IJRR, TOG, RA-L, SIGGRAPH Asia, CoRL, T-Mech, ICRA, IROS, CASE, UR.

I served as a TA for COMP 462/562: Introduction to Modern Robotics (Spring 2025, Spring 2026) and COMP 341: Practical Machine Learning (Fall 2025).