Papers

2

Total Citations

43

H-Index

2

About

Zhengtao Wei is a robotics researcher whose work has made meaningful contributions to the field of robotic control systems, with a particular focus on the intersection of force control and position control for robotic manipulators. Active during the late 1990s, Wei explored intelligent control strategies at a time when autonomous and adaptive robotic systems were emerging as critical areas of engineering research. His most influential work, "Learning Force Control for Position Controlled Robotic Manipulator" (1999), has garnered 37 citations, reflecting its lasting relevance to researchers grappling with the challenge of enabling robots to interact precisely and safely with their environments. This contribution addressed how robotic systems could learn and adapt force application without abandoning conventional position-based control frameworks — a practical and elegant approach to a complex problem. His earlier paper from 1997, "Intelligent Strategy of Force & Position Parallel Control for a Robot," laid conceptual groundwork for this research direction, demonstrating an early interest in hybrid control methodologies. Together, these works position Wei as a thoughtful contributor to intelligent robotics, particularly valuable to students and researchers studying adaptive manipulation, human-robot interaction, and compliant robotic control systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
43
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Learning Force Control for Position Controlled Robotic Manipulator
37 citations · 1999
📈 Most Prolific Year: 1999 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Nanjing University of Aeronautics and Astronautics

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago