Hao Liang Chen
Papers
2
Total Citations
14
H-Index
2
About
Hao Liang Chen is a leading researcher in hybrid systems and constraint-based control for robotics, with a focus on nonsmooth mechanical systems and autonomous mobile robots. His pioneering work on sensitivity analysis for trajectories of nonsmooth mechanical systems with simultaneous impacts, published in 2019, has garnered 10 citations and provides a rigorous hybrid systems perspective critical for controlling robots with intermittent contacts—such as legged robots or manipulators. Chen’s contributions extend to behavior adaptation for mobile robots through semantic map compositions of constraint-based controllers, a 2023 study with 4 citations that advances the accessibility of Constraint-based Optimization Problems (COP) for motion control. By enabling robots to autonomously configure COP parameters from contextual cues, his research reduces the need for expert programming, making sophisticated control strategies more practical. Chen’s work bridges theoretical foundations and applied robotics, offering tools for safer, more adaptive autonomous systems. His achievements are notable for addressing the complexity of simultaneous impacts and semantic reasoning in robot control, with growing impact in the fields of hybrid systems and mobile robotics.
Research Focus
Key Achievements
Top Papers
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- 2