M. Yogeswaran
Papers
3
Total Citations
191
H-Index
3
About
Dr. M. Yogeswaran is a leading researcher in swarm robotics, a field that draws inspiration from social insects to coordinate large teams of simple, autonomous robots. His seminal work, "An extensive review of research in swarm robotics" (2009), has garnered 148 citations, establishing it as a foundational resource for understanding how decentralized, locally-communicating robots can achieve complex collective goals. This review, along with a subsequent 2010 publication (37 citations), systematically maps the principles and challenges of designing robust, scalable multi-robot systems without centralized control. Beyond theoretical frameworks, Dr. Yogeswaran has made significant contributions to machine learning for robotics, notably through his comparative study of Q-learning policies for foraging tasks (2009). This work explores how reinforcement learning can enable robots to efficiently map states to actions, optimizing tasks like resource gathering. By bridging biological inspiration with computational learning, his research provides critical insights for developing adaptive, cooperative robot teams, influencing both academic research and practical applications in autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1An extensive review of research in swarm robotics148 citations · 2009
- 2Swarm Robotics: An Extensive Research Review37 citations · 2010
- 3A comparative study of policies in Q-learning for foraging tasks6 citations · 2009