Papers
2
Total Citations
19
H-Index
2
About
Olivier Buffet is a leading researcher in multi-agent systems, swarm robotics, and human-robot collaboration, with a focus on bridging theoretical models and real-world robotic applications. His seminal work on patrolling ant behaviors critically examines how different execution models—from synchronous agents to asynchronous robotic systems—impact swarm algorithms, a contribution that has garnered 10 citations and remains foundational for deploying multi-agent systems in physical environments. More recently, Buffet has advanced robust robot planning for human-robot collaboration, addressing the fundamental challenge of uncertain human objectives and behaviors. His 2023 paper, with 9 citations, introduces a novel framework for deriving realistic human behaviors to enable robots to plan effectively despite incomplete knowledge. This work is pivotal for creating safer and more adaptive collaborative systems. Buffet’s research consistently emphasizes practical implementation, making him a key figure in translating theoretical multi-agent algorithms into deployable robotic solutions. His contributions continue to influence both swarm intelligence and interactive robotics, inspiring students and researchers to tackle the complexities of real-world autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robust Robot Planning for Human-Robot Collaboration9 citations · 2023