Xigang Chen
Papers
2
Total Citations
33
H-Index
2
About
Xigang Chen is a leading researcher in robotics, specializing in motion planning, cable-driven parallel robots (CDPRs), and optimal control. His work addresses critical challenges in industrial automation, particularly in maximizing productivity through time-optimal motion planning for robot manipulators. Chen’s most-cited paper (2023, 20 citations) introduces a novel approach to time-optimal time scaling (TOTS) under third-order constraints, advancing beyond traditional second-order methods to enable smoother, faster, and more precise robotic motions. In another influential study (2022, 13 citations), he presents kinematic and dynamic modeling along with workspace analysis for a suspended CDPR capable of Schönflies motions, highlighting its potential for large workspace and high payload applications. These contributions have significant implications for manufacturing, logistics, and automation, where efficiency and precision are paramount. Chen’s work is widely recognized for bridging theoretical rigor with practical implementation, earning him a growing citation record and a reputation for pushing the boundaries of robotic performance. His research continues to inspire advancements in motion planning and parallel robotics.
Research Focus
Key Achievements
Top Papers
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