Papers
14
Total Citations
110
H-Index
6
About
Yuwan Cen is a robotics researcher whose work spans two decades of innovation in mobile robot navigation, multi-robot coordination, and advanced manipulator control. His early and most influential contributions focused on mobile robot path planning, where he surveyed the field's foundational challenges and proposed novel algorithmic solutions. His 2005 review of path planning technology (29 citations) established a comprehensive framework distinguishing global and local planning approaches, while subsequent work introduced sophisticated optimization methods, including an improved coordinating potential field combined with genetic algorithms (22 citations) to address real-time obstacle avoidance in dynamic environments, and an ant colony optimization approach for structured navigation tasks (18 citations). Cen also explored multi-robot systems, applying game theory to flocking coordination and developing behavior-merging strategies for dynamic pursuit scenarios. His research trajectory later evolved toward industrial robotics, particularly demolition robots, where he tackled complex challenges in inverse kinematics and variable-mass hydraulic manipulator control using techniques such as linear active disturbance rejection control and neural network-based global mapping. With a cumulative body of work exceeding 100 citations, Cen's research reflects a consistent commitment to bridging classical planning theory with intelligent optimization, making meaningful contributions to both autonomous mobile robotics and heavy-duty industrial manipulator systems.
Research Focus
Key Achievements
Top Papers
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- 9Flocking task research for multiple mobile robots based on game theory3 citations · 2008
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