Papers
6
Total Citations
304
H-Index
5
About
Patrick Michel is a leading researcher in autonomous bipedal locomotion and humanoid robotics, with a focus on enabling robots to navigate complex, dynamic environments. His major contributions include pioneering vision-guided footstep planning for humanoid robots, which allows them to autonomously traverse obstacle-filled spaces—a critical step toward real-world deployment. He also developed motion-based robotic self-recognition, a method that enables robots to distinguish their own movements from those of other agents, enhancing situational awareness and safe interaction. Michel’s work on online environment reconstruction for biped navigation and the intelligent joystick for high-level directional control further advanced humanoid autonomy, with his most-cited paper, "Vision-guided humanoid footstep planning for dynamic environments," garnering 145 citations. His research has been applied to platforms like the HRP-2 humanoid, and he has also explored rover-terrain interaction in low-gravity environments using discrete element simulations. Michel’s contributions are foundational for autonomous humanoid robots operating in unstructured settings, making him a key figure in the field of legged locomotion and perception.
Research Focus
Key Achievements
Top Papers
- 1Vision-guided humanoid footstep planning for dynamic environments145 citations · 2006
- 2Motion-based robotic self-recognition61 citations · 2005
- 3Online environment reconstruction for biped navigation46 citations · 2006
- 4An intelligent joystick for biped control44 citations · 2006
- 5Humanoid HRP2-DHRC for Autonomous and Interactive Behavior6 citations · 2007
- 6Froude scaling for rovers on small body surfaces 2 citations · 2022