Papers
2
Total Citations
17
H-Index
2
About
Philippe Mathieu is a leading researcher in multi-agent systems and robotics, whose work bridges theoretical foundations and practical applications. His key research areas include scalable multi-agent architectures, deterministic kinodynamic planning, and parametric excitation walking for bipedal robots. Mathieu’s major contribution lies in advancing dynamic walking on level ground through parametric excitation—a method that increases mechanical energy via periodic vertical motion of the robot’s body. He first applied this technique to a biped robot with telescopic legs and later extended it to a more complex design with actuated knee joints, demonstrating robust, hardware-validated locomotion. His influential paper “Deterministic Kinodynamic Planning with hardware demonstrations” (2011, 7 citations) showcases this work, while his edited volume “Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection” (2016, 10 citations) highlights his impact on agent-based systems. Mathieu’s research is notable for its emphasis on real-world hardware implementation, making his contributions directly applicable to robotics and autonomous systems. His work continues to inspire students and researchers exploring energy-efficient, dynamically stable walking robots and scalable multi-agent coordination.
Research Focus
Key Achievements
Top Papers
- 1
- 2Deterministic Kinodynamic Planning with hardware demonstrations7 citations · 2011