Papers

9

Total Citations

86

H-Index

6

About

Zhihao Xu is a robotics researcher whose work spans multi-robot systems, teleoperation, trajectory planning, and autonomous vehicle control. His research has made meaningful contributions to the coordination and control of mobile robots, particularly car-like rovers operating under real-world constraints such as communication delays and dynamic environments. Among his most recognized contributions is his work on multi-objective trajectory planning for robot manipulators, where he developed a five-order B-spline interpolation method ensuring smooth, continuous motion across velocity, acceleration, and jerk — a practical advance for industrial robotics. His 2013 study on balanced multi-robot deployment introduced a modified Kuramoto model that elegantly enables equidistant agent distribution on a circle, earning 19 citations alongside his trajectory planning work. Xu has also advanced the field of bilateral teleoperation, developing haptic feedback systems for car-like planetary rovers that remain robust under communication delays — a critical challenge for remote exploration applications. His formation control research, incorporating leader-follower architectures and innovative concepts like "readiness" for assessing formation responsiveness, further demonstrates his systems-level thinking. With contributions spanning hardware design to theoretical modeling, Xu's body of work offers valuable insights for students and engineers working at the intersection of autonomous robotics and human-robot interaction.

Research Focus

Key Achievements

6
H-Index
9
Papers
86
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
MOPSO Based Multi-objective Trajectory Planning for Robot Manipulators
19 citations · 2015
📈 Most Prolific Year: 2013 (3 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Nanjing University of Science and Technology, University of Würzburg

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago