About Me

I am a fourth-year undergraduate student at the University of Science and Technology of China (USTC). Starting Fall 2025, I will be joining the Hybrid Robotics Group at UC Berkeley as a Ph.D. student under the supervision of Prof. Koushil Sreenath.

Research Interests

My interest lies in Control and Robot Learning. I am currently focused on bridging high-level intelligence with low-level controller in physical world.

Research Experience

Language-directed Humanoid Whole Body Control via End-to-end Learning

  • An end-to-end method enabling humanoid robots to interpret and execute diverse whole-body motions directly from natural language commands.

Learning for Safe Multiple Heterogeneous Quadcopter Control via Generalizable Barrier Certificate

  • Developed a heterogeneous safe controller for quadcopters with generalizable barrier certificate.
  • Simultaneously learn the control barrier function and constrained control policy.
  • Online system identification from observation history for heterogeneous adaptation.

Geometry Variation Model Predictive Control For Bipedal Robot

  • Geometry representation of system dynamic, invariant to coordinate system and free from singularity.
  • Variation-based linearization of system dynamic to ensure the discretized system is energy-conserving.
  • Enable stable walking of a bipedal robot. Convex MPC based on geometry representation of system dynamics. Free of singularity and energy preserving. 

State Estimation and Control of a Wheeled-Bipedal Robot

  • Developed a robust state estimation and high-performance control algorithm for a wheeled-bipedal robot.
  • Detect slipping based on the velocity difference of wheels’ contact points with the ground in the inertial frame to adjust covariance in state estimation Kalman filter.
  • Designed LQR controller based on whole-body dynamics.
  • More details can be found HERE

SLAM and Navigation of an Omnidirectional Robot

  • Develop a navigation system for a mobile robot to navigate through uneven terrain.
  • Enhance localization frequency and accuracy by integrating lidar, IMU, and encoder data using a Kalman filter.
  • Analyze terrain traversability through point cloud segmentation.
  • More details can be found HERE