Our focus is on motion planning, task assignment and control of mutli-agent systems. We tackle challenges like energy utilization, failure resiliency, flow control, scalability, time complexity, etc in multi-agent systems. The developed ideas are applied and tested on real world systems and environments.
Transportation of Deformable Payload through Static and Dynamic Obstacles using multiple robots.
InsightsTeleoperation of a robot in adverserial environments.
Deep reinforcement learning based local motion planning and formation control.
InsightsPath Planning and Kinematic control of a modular articulated multi-robot system.
InsightsSystem to simulate big cities with multi-modal traffic system with large number of agents.
InsightsFail safe robot soccer game simulation with 4-11 players ranging from four to eleven in each team.
Multi-Agent Simulations and methodologies to solve population and crowding problems.