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• W2803077189 abstract "Swarm Robotics are widely conceived as the development of new computationally efficient tools and techniques aimed at easing and enhancing the coordination of multiple robots towards collaboratively accomplishing a certain mission or task. Among the different criteria under which the performance of Swarm Robotics can be gauged, energy efficiency and battery lifetime have played a major role in the literature. However, technological advances favoring power transfer among robots have unleashed new paradigms related to the optimization of the battery consumption considering it as a resource shared by the entire swarm. This work focuses on this context by elaborating on a routing problem for collaborative exploration in Swarm Robotics, where a subset of robots is equipped with battery recharging functionalities. Formulated as a bi-objective optimization problem, the quality of routes is measured in terms of the Pareto trade-off between the predicted area explored by robots and the risk of battery outage in the swarm. To efficiently balance these conflicting two objectives, a bio-inspired evolutionary solver is adopted and put to practice over a realistic experimental setup implemented in the VREP simulation framework. Obtained results elucidate the practicability of the proposed scheme, and suggest future research leveraging power transfer capabilities over the swarm." @default.
• W2803077189 created "2018-05-17" @default.
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• W2803077189 date "2018-01-01" @default.
• W2803077189 modified "2023-10-15" @default.
• W2803077189 title "A Bio-inspired Approach for Collaborative Exploration with Mobile Battery Recharging in Swarm Robotics" @default.
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• W2803077189 doi "https://doi.org/10.1007/978-3-319-91641-5_7" @default.
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