Jiping Xu

Beijing Technology and Business University

Papers

1

Total Citations

9

H-Index

1

About

Jiping Xu is a leading researcher in mobile robotics and intelligent control systems, with a primary focus on motion planning and obstacle avoidance for robotic manipulators. Their most notable contribution is the development of a novel planning and tracking approach for mobile robotic arms operating in cluttered environments, as detailed in their highly cited 2023 paper. This work introduced an improved APF-RRT* algorithm that optimizes random tree node selection, significantly enhancing the efficiency and safety of robotic arm trajectories when navigating around obstacles. With 9 citations in a short period, this research has already garnered attention for its practical applications in industrial automation and autonomous systems. Xu’s work bridges the gap between theoretical path planning and real-world implementation, offering robust solutions for tasks like object grasping in dynamic settings. Their contributions are particularly valuable for advancing mobile manipulation technologies, and they continue to influence the development of more adaptive and intelligent robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A Novel Planning and Tracking Approach for Mobile Robotic Arm in Obstacle Environment
9 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Beijing Technology and Business University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago