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.
Energy Minimization in the multi-wheel system using concepts of multi-agent systems.Insights
Motion Planning through tight spaces for MMMPTR system.
Operational endurance of a multi-robot system.Insights
Transportation of Deformable Payload through Static and Dynamic Obstacles using multiple robots.Insights
Teleoperation of a robot in adverserial environments.
Deep reinforcement learning based local motion planning and formation control.Insights
Path Planning and Kinematic control of a modular articulated multi-robot system.Insights
A group of seekers develop strategies to evade from hiders.Insights
Robots use strategies to evade catchers in a chain-catch game.Insights
System to simulate big cities with multi-modal traffic system with large number of agents.Insights
Fail 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.