Michel Doyon

McGill University, Canadian Space Agency

Papers

11

Total Citations

150

H-Index

7

About

Michel Doyon is a robotics researcher whose work spans robot control systems, space robotics, and advanced manipulation technologies. His most influential contribution lies in impedance control for position-controlled robot manipulators, with his 2002 paper on implementation and performance accumulating 53 citations — a foundational reference for researchers working on compliant robot interaction with environments. Doyon has made significant strides in harmonic drive control, publishing multiple studies between 2004 and 2006 on adaptive algorithms that address the persistent challenges of friction and flexspline dynamics inherent to these compact, high-ratio transmissions. These contributions collectively reflect his dedication to achieving precision control in mechanically complex actuator systems. A substantial portion of his research addresses space robotics verification, particularly Canada's responsibility for validating tasks involving the Special Purpose Dextrous Manipulator (Dextre) aboard the International Space Station. His work on hardware-in-the-loop simulation facilities — spanning emulation, validation, and dynamic testing in one-g environments — provided critical infrastructure for safely certifying space robot operations without access to microgravity conditions. His research on astronaut skill degradation further extends his impact into human factors for space operations, demonstrating a breadth of contribution that bridges control engineering and practical space mission readiness.

Research Focus

Key Achievements

7
H-Index
11
Papers
150
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
On the implementation and performance of impedance control on position controlled robots
53 citations · 2002
📈 Most Prolific Year: 2006 (3 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: McGill University, Canadian Space Agency

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago