Papers

2

Total Citations

6

H-Index

2

About

Ping Ye is a researcher specializing in space robotics and advanced control systems, with a focus on microgravity simulation and flexible joint control for robotic manipulators. Their work addresses critical challenges in space exploration, particularly in replicating the weightless environment of space on Earth for testing robotic systems. In their 2013 study, Ye developed a hybrid method for microgravity simulation of space robotic manipulators, a technique that combines physical and computational elements to accurately mimic space conditions—a foundational contribution for ground-based testing of space hardware. This work has garnered 4 citations, reflecting its niche but essential role in the field. Ye’s 2014 paper on position tracking control of flexible robot joints using model predictive control (MPC) is another key achievement, demonstrating how MPC can manage torque and speed constraints while ensuring stability in systems with harmonic drive gears. Although citation counts are modest, Ye’s research is notable for its practical implications in space robotics, offering safer and more reliable control methods for flexible joints. Their contributions are valuable for students and researchers interested in the intersection of robotics, control theory, and space technology.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A Hybrid Method for Microgravity Simulation of Space Robotic Manipulator
4 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Beijing University of Posts and Telecommunications

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago