Mengqiu Chu

University of Shanghai for Science and Technology

Papers

Total Citations

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About

Mengqiu Chu is a robotics researcher whose work focuses on the dynamic modeling, design optimization, and compliant control of robotic systems, particularly parallel manipulators and lower extremity exoskeletons. His most cited paper, "Integrating Dynamics into Design and Motion Optimization of a 3-PRR Planar Parallel Manipulator with Discrete Time Transfer Matrix Method" (2020, 11 citations), introduces a computationally efficient approach—the discrete time transfer matrix method (DT-TMM)—to unify dynamic modeling with design and motion optimization for parallel robots. This work addresses a critical challenge in robotics: reducing computational complexity while maintaining accuracy in dynamic simulations. Chu’s research also explores the compliant characteristics of lower extremity exoskeleton robots, as detailed in his 2019 review paper (2 citations), which examines how wearable devices can assist individuals with walking disorders by restoring leg and joint function. By integrating rigid and compliant mechanisms, Chu contributes to the development of more adaptive and human-friendly robotic systems. His work has implications for rehabilitation robotics and industrial automation, bridging the gap between theoretical dynamics and practical robot design.