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About

He Chen’s research lies at the intersection of adaptive control, robotics, and biomedical engineering, with a focus on creating intelligent systems that adapt to uncertainty. His most impactful work, an adaptive motion controller for $n$-link robot manipulators (81 citations), addresses the challenge of unmeasurable plant parameters by ensuring positioning errors converge to zero—a fundamental advance for industrial and service robots. Chen also pioneers assistive technologies, developing a gait simulation system for hip disarticulation prostheses that introduces quantitative evaluation criteria where only subjective questionnaires existed before. In surgical robotics, his motion decoupling network tackles intra-operative occlusion, enabling accurate instrument and soft-tissue tracking from endoscopic images. Earlier contributions include gait optimization for biped robots using genetic algorithms and hybrid intelligent joint controllers for humanoids, blending fuzzy PD and neural PID strategies. His triple-stage stabilizing control for two-wheeled inverted pendulum robots further demonstrates his versatility in underactuated systems. With over 110 total citations, Chen’s work bridges theoretical control design and real-world applications—from manufacturing to rehabilitation—making him a key figure in adaptive robotics and human-robot interaction.