Chin Pang Ho
Papers
4
Total Citations
57
H-Index
3
About
Chin Pang Ho is a leading researcher in robotics and control theory, specializing in robust and distributed control for legged locomotion. His work addresses critical challenges in quadruped robot control under uncertainties, including friction constraints and model dynamics. Ho's most cited paper, "Robust Convex Model Predictive Control for Quadruped Locomotion Under Uncertainties" (2023, 36 citations), introduces a min-max optimization framework that ensures stable locomotion even in unpredictable environments. He further advances the field with a hierarchical control framework for multi-modal locomotion, enabling energy-efficient gait transitions (2022, 10 citations). Ho also pioneers distributed control strategies, as demonstrated in "Distributed Model Predictive Formation Control with Gait Synchronization for Multiple Quadruped Robots" (2023, 10 citations), which coordinates multi-robot teams in obstacle-rich settings using MPC and consensus protocols. His recent work on distributionally robust chance-constrained trajectory optimization (2024) tackles safe corridor planning under perception uncertainty. Through these contributions, Ho has established himself as a key figure in bridging robust optimization, model predictive control, and practical robotics, with his methods directly enhancing the reliability and efficiency of autonomous systems.
Research Focus
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