Mingwu Chen
Papers
2
Total Citations
91
H-Index
2
About
Mingwu Chen is a pioneering researcher in robotics, whose work has fundamentally shaped the field of motion planning for mobile manipulator systems. His primary research areas include genetic algorithm-based path optimization, multi-criteria motion planning, and safety-aware robotic navigation. Chen’s major contribution lies in developing innovative genetic approaches that simultaneously optimize for path safety and configuration efficiency—a critical advancement for autonomous systems operating in complex, obstacle-rich environments. His 1997 paper, "A genetic approach to motion planning of redundant mobile manipulator systems considering safety and configuration," with 71 citations, introduced a wave front expansion method combined with cell decomposition to create numerical potential fields, enabling computationally efficient yet safe path generation. This work, alongside his 1995 foundational study on distance-safety criteria (20 citations), established a robust framework for balancing travel distance with collision avoidance. Chen’s research has had lasting impact, influencing subsequent generations of roboticists working on autonomous navigation, particularly in applications requiring redundant manipulators. His integration of genetic algorithms with safety constraints remains a cornerstone reference for researchers developing intelligent, risk-aware robotic systems.
Research Focus
Key Achievements
Top Papers
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