Xiaowan Zheng
Papers
1
Total Citations
11
H-Index
1
About
Xiaowan Zheng is a leading researcher in robotics and computational intelligence, with a primary focus on trajectory planning and optimization for redundant robot manipulators. Her most influential work, "Trajectory planning of redundant robot manipulators using QPSO algorithm" (2010, 11 citations), introduces a novel application of the Quantum-behaved Particle Swarm Optimization (QPSO) algorithm to design collision-free trajectories for planar redundant manipulators. Zheng's key contribution lies in integrating chaotic sequences instead of random sequences within the QPSO framework, which significantly diversifies the population and enhances the algorithm's global search capability. By incorporating kinematics redundancy as planning variables, her method offers a robust solution to complex motion planning problems, enabling smoother and safer robot operations in constrained environments. This work has been foundational for subsequent research in intelligent robotics and optimization techniques. Zheng's innovative approach to merging chaos theory with swarm intelligence demonstrates her ability to push the boundaries of traditional robotic planning, making her a notable figure in the field of computational robotics and optimization.
Research Focus
Key Achievements
Top Papers
- 1Trajectory planning of redundant robot manipulators using QPSO algorithm11 citations · 2010