Path Optimization Using Metaheuristic Techniques for a Surveillance Robot
Mario Peñacoba,
Jesús Enrique Sierra-García,
Matilde Santos
et al.
Abstract:This paper presents an innovative approach to optimize the trajectories of a robotic surveillance system, employing three different optimization methods: genetic algorithm (GA), particle swarm optimization (PSO), and pattern search (PS). The research addresses the challenge of efficiently planning routes for a LiDAR-equipped mobile robot to effectively cover target areas taking into account the capabilities and limitations of sensors and robots. The findings demonstrate the effectiveness of these trajectory op… Show more
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