Youssef Michel
Papers
12
Total Citations
215
H-Index
7
About
Youssef Michel is a leading researcher in robotic manipulation, specializing in safe and adaptive control for human-robot interaction. His work centers on passivity-based variable impedance control, learning from demonstration (LfD), and teleoperation for contact tasks. Michel’s major contributions include developing hierarchical passivity-based compliance controllers that enable redundant manipulators to execute multiple tasks with time-varying stiffness while ensuring safety. His 2021 paper on bilateral teleoperation with adaptive impedance control has garnered 85 citations, reflecting its impact on contact-task robotics. He has also pioneered safety-aware energy tank formulations using Control Barrier Functions (CBF) and vision-based estimation of muscle activation patterns for tele-impedance. Notably, his 2022 work on safety-aware hierarchical passivity-based control (51 citations) addresses the critical challenge of maintaining safety during variable compliance control. Michel’s research bridges theoretical passivity frameworks with practical applications in teleoperation and shared control, making robots more reactive and safe in dynamic environments. His innovative use of LfD to encode variable stiffness policies has set new standards for learning-based control in contact tasks.
Research Focus
Key Achievements
Top Papers
- 1Bilateral Teleoperation With Adaptive Impedance Control for Contact Tasks85 citations · 2021
- 2
- 3Passivity-based variable impedance control for redundant manipulators17 citations · 2020
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- 7A Learning-Based Shared Control Approach for Contact Tasks8 citations · 2023
- 8Closed-Loop Variable Stiffness Control of Dynamical Systems5 citations · 2021
- 9
- 10Passivity-Based Teleoperation With Variable Rotational Impedance Control4 citations · 2024