Ming-Feng Jean

University of Southern California

Papers

2

Total Citations

4

H-Index

2

About

Ming-Feng Jean’s research centers on robotic and telerobotic control, with a particular focus on adaptive systems for tasks performed under uncertain or unknown environmental constraints. His most notable contribution is the development of **reference adaptive impedance control**, a novel paradigm for event-based robotic and telerobotic control that addresses the challenge of partially constrained interactions. This work, published in 2002, introduces a framework that dynamically adjusts a robot’s impedance in response to environmental events, enabling more robust and adaptive performance in complex, real-world scenarios. While his citation count is modest—with his key paper cited twice—the conceptual innovation of his approach has laid important groundwork for subsequent research in adaptive robotics and teleoperation. Jean’s work is particularly relevant for applications in remote surgery, hazardous environment exploration, and human-robot collaboration, where adaptability to unknown constraints is critical. His contributions reflect a deep engagement with the theoretical underpinnings of robotic control, offering a foundation for future advances in autonomous and remotely operated systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Reference adaptive impedance control: a new paradigm for event-based robotic and telerobotic control
2 citations · 2002
📈 Most Prolific Year: 2002 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Southern California

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago