Papers
7
Total Citations
69
H-Index
4
About
Franck Multon is a leading researcher at the intersection of robotics, biomechanics, and computational intelligence, with key contributions in humanoid motion planning, locomotion analysis, and the modeling of deceptive behaviors in artificial systems. His most influential work, "A Reachability-Based Planner for Sequences of Acyclic Contacts in Cluttered Environments" (31 citations), introduces a novel framework for enabling robots to navigate complex, obstacle-filled spaces by planning sequences of non-cyclic contacts—a critical advance for dexterous manipulation and locomotion in unstructured environments. Multon has also made foundational strides in understanding bipedal gait, linking anthropometric parameters to locomotion dynamics, and developing algorithms for extracting and simulating human walking patterns. Notably, his work on "Computational Deception and Noncooperation" (9 citations) pioneers the modeling of deceptive and noncooperative behaviors in intelligent agents and serious games, addressing safety and security applications. With additional contributions to 3D acrobatic humanoid motion adaptation and dynamical distance geometry, Multon’s research spans from low-cost dynamics simulation to the ethical dimensions of AI. His interdisciplinary impact is reflected in over 70 citations across these core papers, establishing him as a versatile scholar shaping both robotic autonomy and human-machine interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Computational Deception and Noncooperation9 citations · 2012
- 4Trends & Controversies8 citations · 2012
- 5Dynamic motion adaptation for 3D acrobatic humanoids4 citations · 2007
- 6
- 7Anthropometry in Bipedal Locomotion: The Link Between Anatomy and Gait3 citations · 2012