Liangping Xiong

Shanghai University

Papers

1

Total Citations

3

H-Index

1

About

Dr. Liangping Xiong is a leading researcher in collaborative robotics and intelligent control systems, with a focus on enhancing the precision and safety of human-robot interaction. His most significant contribution is the development of a novel parameter identification method for collaborative robot joints, combining a cuckoo search algorithm with a backpropagation neural network. This hybrid approach, detailed in his 2024 paper, addresses critical challenges in robot dynamics—such as unknown parameters in dragging, teaching, and collision detection—by significantly improving identification accuracy. While his work is still gaining traction, with 3 citations to date, it represents a foundational step toward more adaptive and reliable robotic systems. Dr. Xiong’s research bridges computational intelligence and mechanical engineering, offering practical solutions for real-world automation. His achievements highlight a commitment to advancing collaborative robotics, making him a rising voice in the field.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Parameter Identification Method for Collaborative Robot Joint Using a Cuckoo Search-BP Neural Network Approach
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Shanghai University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago