1. Trajectory Optimization for a Wheel-Legged System for Dynamic Maneuvers that Allow for Wheel Slip (2019)
2. Robust Quadruped Jumping via Deep Reinforcement Learning (2020)
3. Robust High-speed Running for Quadruped Robots via Deep Reinforcement Learning (2021)
4. An Online Training Method for Augmenting MPC with Deep Reinforcement Learning (2020)
5. CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion (2022)
6. SATA: Safe and Adaptive Torque-Based Locomotion Policies Inspired by Animal Learning (2025)
7. AllGaits: Learning All Quadruped Gaits and Transitions (2025)
Research Experience
Position: PostDoc Position at Swiss Federal Institute of Technology in Lausanne (EPFL)
Work Experience: Engaged in research projects on dynamic maneuvers for wheel-legged systems, robust quadruped jumping, and high-speed running for quadruped robots at EPFL.
Education
Degree: Not provided
School: Not provided
Advisor: Not provided
Time: Not provided
Major: Not provided
Background
Research Interests: Robotics, Reinforcement Learning, Trajectory Optimization. Professional Field: Robot Control and Motion Planning.