Philipp Michel
Papers
7
Total Citations
197
H-Index
5
About
Philipp Michel’s research lies at the intersection of humanoid robotics, real-time perception, and autonomous navigation. His most influential work, a 2007 paper on GPU-accelerated 3D tracking for humanoid locomotion and stair climbing (114 citations), pioneered the use of programmable graphics hardware to achieve frame-rate model-based tracking, enabling robots to perceive and traverse complex 3D environments. Michel further demonstrated the practical impact of his perception-driven planning by equipping the Honda ASIMO humanoid with the ability to navigate autonomously among dynamic obstacles, reasoning about future world states to move through challenging settings. A recurring theme in his work is “planning for robust execution using future perceptive capability”—a framework that simulates a robot’s perception system during motion planning to ensure reliable operation. Beyond locomotion, Michel contributed to social robotics with the creation of Roillo, a platform for studying nonverbal interaction and rhythm in children’s playrooms. His combined contributions—spanning GPU-accelerated tracking, perceptive planning, and social robot design—have shaped how humanoid robots perceive, plan, and interact in the real world.
Research Focus
Key Achievements
Top Papers
- 1GPU-accelerated real-time 3D tracking for humanoid locomotion and stair climbing114 citations · 2007
- 2Locomotion among dynamic obstacles for the honda ASIMO34 citations · 2007
- 3Roillo: Creating a Social Robot for Playrooms23 citations · 2006
- 4
- 5GPU-accelerated Real-Time 3D Tracking for Humanoid Autonomy6 citations · 2008
- 6MOTION PLANNING USING PREDICTED PERCEPTIVE CAPABILITY5 citations · 2009
- 7Humanoid navigation planning using future perceptive capability2 citations · 2008