Zhengwen Nie

Shanghai Jiao Tong University

Papers

1

Total Citations

4

H-Index

1

About

Zhengwen Nie is a leading researcher in the field of robotic systems for industrial automation, with a primary focus on wall-climbing mobile manipulators and their application in large-scale steel structure welding. His most notable contribution is the development of a global spatial motion planning algorithm for an independently designed wall-climbing robot, which integrates a four-wheeled climbing mobile base with a manipulator to perform complex welding operations in challenging environments. This work, published in 2024, has already garnered 4 citations, highlighting its immediate relevance to advancing autonomous construction and manufacturing. Nie’s research addresses critical challenges in motion planning for mobile manipulators, including obstacle avoidance, trajectory optimization, and real-time adaptability, enabling safer and more efficient welding in high-altitude or hazardous settings. His achievements are particularly significant for industries such as shipbuilding, bridge construction, and oil rig maintenance, where large steel structures require precise, automated solutions. By bridging robotics and structural engineering, Zhengwen Nie is paving the way for next-generation industrial robots that enhance productivity and worker safety.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Research on motion planning system for wall-climbing mobile manipulator for large steel structures welding operation
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Shanghai Jiao Tong University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago