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Energy-Aware Coverage Planning for Heterogeneous Multi-Robot System

Energy-aware coverage controller

Overview

EAC takes into account both robots's energy consumption rate and available energy level. It dynamically adjusts the allocation of regions, assigning smaller areas to robots with lower energy levels or faster depletion rates, and vice versa. EAC seeks to extend the overall lifespan of the multi-robot system while optimizing the achievement of mission objectives.

Paper Appendix

See the Appendix_Munir_Energy_aware_coverage.pdf in this repository

Video Demonstration of the Experiments

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Installation Requirement

Matlab *(Fast Bounded Power Diagram MATLAB Add-on is also required, but it's built into this repository under third-party utilities (tp-utility) folder; you don't need to install)

  • Robotarium Matlab Installation

How to run

Place the repository within the "example" directory of Matlab Robotarium and execute the main script labeled as "EnergyAwareRobotarium.m."

Parameters

You can set the following paramters in script:

  1. robots initial positions
  2. density source locations (u1,u2)
  3. threshold distance to centroid
  4. velocity
  5. density flag

Core contributors

  • Aiman Munir - PhD Candidate, University of Georgia
  • Dr. Ramviyas Parasuraman - Assistant Professor, University of Georgia
  • Dr. Ayan Dutta - Associate Professor, University of North Florida

Heterogeneous Robotics (HeRoLab)

Heterogeneous Robotics Lab (HeRoLab), Department of Computer Science, University of Georgia. http://hero.uga.edu

For further information, contact Aiman Munir aiman.munir@uga.edu or Prof. Ramviyas Parasuraman ramviyas@uga.edu

http://hero.uga.edu/