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Multi robot coverage control in non-convex environments using ROS
Environment for coverage control and learning using GNN
Multi-Agent Coverage Control Utilizing Reinforcement Learning
This project explores the coverage control for a fleet of robots in a diverse set of conditions and environments
Optimal coverage of multiple constant-speed unicycle robots