Papers
2
Total Citations
4
H-Index
2
About
Mohamed Amine Hamila’s research focuses on multi-agent and multi-robot systems, with a particular emphasis on path planning, distributed equilibrium computation, and strategic decision-making. His major contributions lie in developing algorithms that enable robots to coordinate efficiently in complex environments. In his 2010 paper, “An Algorithm for Multi-robot Planning: SGInfiniteVI,” he introduced a novel path planning method grounded in dynamic programming, designed to facilitate task accomplishment by generating optimal, distributed solutions. This work directly addresses the challenge of equilibrium selection in multi-robot settings. He further advanced this line of inquiry in his 2012 study, “Strategic Dominance and Dynamic Programming for Multi-agent Planning - Application to the Multi-Robot Box-pushing Problem,” where he applied these theoretical frameworks to a concrete, real-world robotics task. Although his most cited papers have garnered modest citation counts (2 each), their value lies in their foundational approach to integrating game-theoretic concepts with practical multi-robot coordination. Hamila’s work is notable for bridging the gap between abstract strategic dominance and tangible robotic applications, offering a principled methodology for researchers tackling distributed planning problems in robotics and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1An Algorithm for Multi-robot Planning: SGInfiniteVI2 citations · 2010
- 2