Papers

3

Total Citations

12

H-Index

2

About

Marc Duclusaud is a leading researcher in humanoid robotics, with a primary focus on locomotion control, fall recovery, and high-fidelity physics simulation. His most impactful work includes the development of **FRASA**, an end-to-end reinforcement learning agent that enables humanoid robots to autonomously recover from falls and stand up—a critical challenge in dynamic environments where traditional Model Predictive Control and keyframe-based methods fall short. This work has already garnered 4 citations and represents a significant step toward more resilient, real-world capable robots. Duclusaud also contributed to **extended friction models for servo actuators**, improving the accuracy of physics simulations used in reinforcement learning pipelines, a foundational tool for modern robot control. As a core member of the **Rhoban Football Club**, he helped lead the team to victory in the RoboCup Humanoid Kid-Size League in 2023, a prestigious international competition that benchmarks the state of the art in autonomous humanoid soccer. With a growing citation record and a focus on bridging simulation and reality, Duclusaud is shaping the next generation of agile, self-recovering humanoid robots.

Research Focus

Key Achievements

2
H-Index
3
Papers
12
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Rhoban Football Club: RoboCup Humanoid Kid-Size 2023 Champion Team Paper
6 citations · 2024
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Institut Polytechnique de Bordeaux, Laboratoire Bordelais de Recherche en Informatique

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago