作者: Ouarda Zedadra , Hamid Seridi , Nicolas Jouandeau , Giancarlo Fortino
DOI: 10.1016/J.ENGAPPAI.2016.01.025
关键词: Stigmergy 、 Artificial intelligence 、 Robot 、 Multi-agent system 、 Foraging 、 Task (project management) 、 Robotics 、 Computer science 、 Range (mathematics) 、 Swarm robotics
摘要: The foraging task is one of the canonical testbeds for cooperative robotics, in which a collection robots have to find and transport or more objects specific storagepoints. Efficiency can be improved with coordinated team robots. Swarm robotics investigates bio-inspired behaviors simple species, that provide complex at group level. We present multiagent algorithm named Cooperative Switching Algorithm Foraging (C-SAF) inspired from classical ant system. It provides quick search, optimal homing paths exploitation food. A qualitative comparison between some related works proposed given here, as well quantitative shows our outperforms reference c-marking across range different scenarios.