Papers

1

Total Citations

15

H-Index

1

About

Dr. Gang Pi is a leading researcher in the field of robotics and intelligent manufacturing, with a primary focus on advanced trajectory planning and dynamic optimization for industrial manipulators. His most influential work, "Time-Energy-Jerk Dynamic Optimal Trajectory Planning for Manipulators Based on Quintic NURBS" (2018), has garnered 15 citations and stands as a cornerstone contribution to the field. In this seminal paper, Dr. Pi pioneered a multi-objective optimization framework that simultaneously minimizes motion time, energy consumption, and mechanical jerk—a critical advancement for improving both the efficiency and longevity of robotic systems. By integrating kinematic and dynamic constraints with sophisticated algorithms like NSGA-II and multi-objective particle swarm optimization, his approach enables smoother, more energy-efficient robot motions without sacrificing speed. This work has direct applications in high-precision manufacturing, assembly lines, and collaborative robotics, where optimal performance is paramount. Dr. Pi’s research continues to shape the next generation of intelligent automation, offering practical solutions for reducing operational costs and enhancing robotic reliability in industrial settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Time-Energy-Jerk Dynamic Optimal Trajectory Planning for Manipulators Based on Quintic NURBS
15 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Shanghai Aerospace Automobile Electromechanical (China)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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