Our Research Projects

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.

Multi-Wheel Payload Transport Robot

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Energy Minimization in the multi-wheel system using concepts of multi-agent systems.

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Multi-Mobile Manipulator System

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Motion Planning through tight spaces for MMMPTR system.


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Loosely Coupled Payload Transport System with Robot Replacement

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Operational endurance of a multi-robot system.

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Flexible Payload Transport through Static and Dynamic Obstacles

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Transportation of Deformable Payload through Static and Dynamic Obstacles using multiple robots.

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Human Assisted Navigation for Payload Transport

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Teleoperation of a robot in adverserial environments.


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Formation Control of Robots using Reinforcement Learning

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Deep reinforcement learning based local motion planning and formation control.

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Kinematic Control of Compliant Frame Multi-body Mobile Robots

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Path Planning and Kinematic control of a modular articulated multi-robot system.

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Multi-Robot Hide and Seek Game

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A group of seekers develop strategies to evade from hiders.

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Robots Playing Chain Catch

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Robots use strategies to evade catchers in a chain-catch game.

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MUST: Multi Agent Simulation of Multi-Modal Urban Traffic

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System to simulate big cities with multi-modal traffic system with large number of agents.

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Failure Resilient Robotic Soccer Strategy

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Fail safe robot soccer game simulation with 4-11 players ranging from four to eleven in each team.


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Crowd Control using Multi-Agent Systems

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Multi-Agent Simulations and methodologies to solve population and crowding problems.


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