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- W3205857632 abstract "This paper presents a novel approach that allows a swarm of heterogeneous robots to produce simultaneously segregative and flocking behaviors using only local sensing. These behaviors have been widely studied in swarm robotics and their combination allows the execution of several complex tasks. Our approach consists of modeling the swarm as a Gibbs Random Field (GRF) and using appropriate potential functions to reach segregation, cohesion and consensus on the velocity of the swarm. Simulations and proof-of-concept experiments using real robots are presented to evaluate the performance of our methodology in comparison to some of the state-of-the-art works that tackle segregative behaviors." @default.
- W3205857632 created "2021-10-25" @default.
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- W3205857632 date "2021-05-30" @default.
- W3205857632 modified "2023-10-01" @default.
- W3205857632 title "Flocking-Segregative Swarming Behaviors using Gibbs Random Fields" @default.
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- W3205857632 doi "https://doi.org/10.1109/icra48506.2021.9561412" @default.
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