Pei-Ran Chen

Papers

1

Total Citations

4

H-Index

1

About

Pei-Ran Chen is a researcher focused on the dynamics and control of space robotic systems, particularly for on-orbit servicing and noncooperative satellite capture. Their key research areas include inertia parameter identification, space robot control, and autonomous rendezvous operations. Chen’s most notable contribution is the development of methods to identify the unknown inertia parameters of a noncooperative satellite before physical capture—a critical step for enabling safe and effective robotic manipulation in space. Their 2020 paper on this topic has garnered 4 citations, reflecting its foundational role in addressing the challenge of controlling a space robot when target satellite properties are unknown. This work is essential for designing active controllers that can adapt to uncertain dynamics during capture maneuvers. Chen’s research directly supports the advancement of autonomous on-orbit services, debris removal, and satellite servicing missions, where precise knowledge of a target’s inertial properties is crucial for mission success. Their contributions are particularly valuable for engineers and researchers developing next-generation space robotics systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Inertia Parameter Identification for an Unknown Satellite in Precapture Scenario
4 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago