On-the-fly generation of multi-robot team formation strategies based on game conditions
2008; Elsevier BV; Volume: 36; Issue: 3 Linguagem: Inglês
10.1016/j.eswa.2008.07.039
ISSN1873-6793
Autores Tópico(s)Distributed Control Multi-Agent Systems
ResumoThis paper describes a new model to automatically generating dynamic formation strategies for robotic soccer applications based on game conditions, regarded to as favorable or unfavorable for a robotic team. Decisions are distributedly computed by the players of a multi-agent team. A game policy is defined and applied by a human coach who establishes the attitude of the team for defending or attacking. A simple neural net model is applied using current and previous game experience to classify the game's parameters so that the new game conditions can be determined so that a robotic team can modify its strategy on-the-fly. Experiments and results of the proposed model for a robotic soccer team show the promise of the approach.
Referência(s)