Papers
3
Total Citations
32
H-Index
3
About
Ce Xu is a leading researcher in advanced robotics, specializing in motion planning, workspace analysis, and intelligent control for complex robotic systems. Their major contributions include pioneering real-time 3D obstacle avoidance for space-based robots through a fuzzy dynamic window approach, enabling safe navigation in environments with static and dynamic obstacles. Xu also developed an improved Monte Carlo method combined with a voxel algorithm to analyze the workspace of hyper-redundant manipulators, enhancing configuration optimization and motion planning. Additionally, they introduced an adaptive local approximation neural network control strategy, optimized by extraordinary particle swarm optimization, for precise robotic manipulator control. With over 30 citations across their most-cited works, Xu’s research has significant impact on autonomous systems and industrial robotics. Their work on 3D dynamic environments and hyper-redundant manipulators is particularly notable, offering practical solutions for space exploration and manufacturing. Xu’s innovative algorithms and control methods continue to influence the field, making them a key figure in advancing robotic autonomy and efficiency.
Research Focus
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