Papers

3

Total Citations

15

H-Index

2

About

Peiqi Xu is a robotics researcher whose work focuses on the control, modeling, and actuation of robotic systems, with a particular emphasis on improving human-robot interaction and dynamic locomotion. Her key research areas include force-free control for industrial robots, trajectory optimization for legged locomotion, and novel actuation mechanisms for artificial muscles. In her most-cited work (2016, 9 citations), Xu developed an improved force-free control method for direct teaching of industrial articulated robotic arms, addressing the challenges of large mass and friction torque—a significant contribution to making industrial robots safer and more intuitive for human operators. She further advanced legged robotics by proposing a minimum-jerk trajectory planning method for one-legged hopping with active compliance control (2020, 4 citations), reducing impact forces and enhancing stability. More recently, Xu has explored soft robotics through the design of an innovative air pressure supply structure for artificial muscles (2021, 2 citations), using an electromagnet and magnetic piston configuration. Her work bridges practical industrial applications with cutting-edge biomechanical inspiration, demonstrating a consistent commitment to making robots more adaptable, compliant, and user-friendly.

Research Focus

Key Achievements

2
H-Index
3
Papers
15
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Control and modeling for direct teaching of industrial articulated robotic arms
9 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: State Key Laboratory of Vehicle NVH and Safety Technology, Ocean University of China

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago