Safe Voronoi-based coverage control for multi-robot systems with constraints
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Universidade Federal de Minas Gerais
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This paper presents a control strategy based on Voronoi partitions to cover an environment with a multi-robot system with state and control constraints. A bounded convex work region is partitioned at each instant using a Voronoi algorithm, providing agents with non-overlapping navigation zones. The algorithm incorporates individual weights for each agent, modifying the partitions to assign a larger area to the agent with the highest weight. The proposed deployment aims to bring the entire system to a stable static configuration corresponding to optimal region coverage. This objective is achieved using a model predictive control and artificial vector fields to guide agents to curves with center points placed at Chebyshev Configurations of the Voronoi partition. The agents are modeled as Dubins airplanes with constant speed and curvature restriction. Simulations are performed using MATLAB software, and the results show the efficiency of the proposed control strategy.
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Robôs - Sistemas de controle
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Atmospheric modeling , Heuristic algorithms , Software algorithms , Chebyshev approximation , Mathematical models , Partitioning algorithms , Nonlinear dynamical systems, Model Predictive Control , Dubins Vehicles , Coverage Control , Chebyshev Center , Vector Fields, Multi-agent Systems , Constant Speed , Vector Field , Speed Limit , Model Predictive Control , Static Configuration , Voronoi Diagram , Optimal Coverage , Constant Curvature , Center Of Mass , Diagonal Matrix , Multi-agent , Nonlinear Dynamics , Unmanned Aerial Vehicles , Constant Velocity , Blue Dots , Linear Velocity , Prediction Horizon , Form Of Field , Real Robot , Circular Path , Swarm Robotics , Coverage Problem , Position Of The Robot , Virtual Agent , Real Agents , Nonholonomic , Orientation Of The Robot , Agent Dynamics
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https://ieeexplore.ieee.org/document/10333067