Tianrui Zhao
Papers
3
Total Citations
16
H-Index
3
About
Tianrui Zhao is a robotics researcher whose work focuses on the control of complex, multi-body robotic systems, particularly in challenging, constrained environments. His key research areas include reinforcement learning for robot control, the motion planning and path tracking of tractor–trailer mobile robots, and compliant manipulation for tight interaction tasks. Zhao’s major contributions lie in developing novel control frameworks that address the inherent nonlinearities and underactuation of these systems. For instance, his work on reinforcement learning-based distributed impedance control (2024, 9 citations) offers a robust solution for compliant operation in tasks where robots form closed-loop constraints with each other or the environment, overcoming the limitations of model-based controllers. He has also introduced a simple curvature-based backward path-tracking control for mobile robots with N trailers (2024, 4 citations) and a trajectory re-planning and tracking control system for tractor–trailer robots subject to multiple constraints (2024, 3 citations). These contributions are significant for advancing the autonomy and reliability of articulated robots in applications ranging from industrial logistics to field robotics.
Research Focus
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Top Papers
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