Papers
2
Total Citations
57
H-Index
2
About
Yuxiao Du is a robotics researcher whose work focuses on the critical intersection of trajectory optimization and assistive wearable technology. His primary contributions lie in developing advanced control algorithms for robotic manipulators and lower limb exoskeletons, addressing fundamental challenges in motion planning and human-robot interaction. Du’s most impactful work, “Time Optimal Trajectory Planning Algorithm for Robotic Manipulator Based on Locally Chaotic Particle Swarm Optimization” (2022), has garnered 49 citations for introducing an innovative LCPSO method that significantly improves the efficiency of robotic arm motion by combining segmented polynomial interpolation with chaotic optimization techniques. This approach directly addresses the time-optimal trajectory planning problem, a core challenge in industrial and service robotics. In complementary work on assistive robotics, Du proposed a PD control method with gravity compensation for lower limb exoskeletons (2019), achieving notable improvements in gait trajectory tracking accuracy for disabled users. His research demonstrates a clear commitment to both theoretical algorithmic advancement and practical application in rehabilitation engineering, making meaningful contributions to the fields of motion planning, swarm intelligence optimization, and wearable robotic control.
Research Focus
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Top Papers
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