Autonomous Decision Making

My research in autonomous decision making focuses on enabling robots and multi-robot systems to make intelligent, adaptive decisions in uncertain and dynamic environments. This includes reinforcement learning, multi-agent coordination, decentralized decision making, and autonomous planning.

Current Projects

Decentralized Multi-Robot Pursuit-Evasion

Developing scalable, decentralized decision-making methods for teams of autonomous robots cooperatively pursuing and capturing evasive targets. The work investigates reinforcement learning, multi-agent coordination, dynamic target assignment, synchronized capture, collision avoidance, and generalisation across different team sizes and operating conditions.

The project is being developed as part of a broader research program on decentralized autonomous systems and multi-robot intelligence.