Antoine Milot
Papers
1
Total Citations
6
H-Index
1
About
Antoine Milot is a researcher in multi-robot systems and automated planning, with a focus on decentralized coordination and task decomposition. His most cited work, "Market-based Multi-robot Coordination with HTN Planning" (2021, 6 citations), introduces a novel approach that integrates Hierarchical Task Network (HTN) planning with auction-based allocation to enable robots to simultaneously decompose and allocate complex tasks. This method addresses critical challenges in multi-robot coordination, particularly for tasks with causal or temporal dependencies, allowing for more flexible and efficient teamwork without centralized control. Milot’s contributions lie at the intersection of artificial intelligence and robotics, advancing how autonomous agents handle high-level, structured missions in dynamic environments. Though early in his career, his work has already been recognized for its practical potential in domains like search-and-rescue and industrial automation. By blending HTN planning’s logical rigor with market-based mechanisms, Milot offers a scalable solution for real-world multi-robot systems, making him a promising voice in the field of cooperative robotics and task planning.
Research Focus
Key Achievements
Top Papers
- 1Market-based Multi-robot coordination with HTN planning6 citations · 2021