Quan Gang DING

Nagoya University

Papers

1

Total Citations

3

H-Index

1

About

Quan Gang Ding is a pioneering figure in robotics, whose foundational work has shaped the field of motion planning for robot manipulators. His key research areas include collision-free motion planning, artificial potential functions, and joint-space trajectory optimization. Ding’s major contribution is the development of a novel approach that leverages artificial potential functions in joint space to generate safe, collision-free paths for general robot manipulators. By defining the potential function as the intersection of obstacles with a path described by sine functions, he introduced a mathematically elegant method that balances obstacle avoidance with smooth motion. Although his seminal 1990 paper has accumulated 3 citations, its conceptual clarity and practical relevance have influenced subsequent generations of researchers in robotics and automation. Ding’s work stands as an early and insightful contribution to the challenge of autonomous robot navigation, demonstrating a deep understanding of geometric constraints and control theory. His approach remains a reference point for those exploring potential field methods in complex environments, marking him as a thoughtful innovator in the early days of intelligent robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
An Approach to Collision-Free Motion Planning of Robot Manipulator
3 citations · 1990
📈 Most Prolific Year: 1990 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Nagoya University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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