Homogeneous Agent Behaviours for the Multi-Agent Simultaneous Searching and Routing Problem

Through the use of autonomy Unmanned Aerial Vehicles (UAVs) can be used to solve a range multi-agent problems that exist in real world, for example search and rescue or surveillance. Within these scenarios global objective might often better achieved if aspects problem optimally shared amongst its agents. However, uncertain, dynamic partially observable environments centralised global-optimisation techniques are not achievable. Instead, agents may have act on their own belief making best decisions independently potentially myopically. With multiple acting decentralised manner how we discourage competitive behaviour instead facilitate cooperation. This paper focuses specific UAVs simultaneously searching tasks an environment whilst efficiently routing between them ultimately visiting them. is motivated by this idea collaboration simple without need dialogue but through design individual agent’s behaviour. By focusing what communicated expand single agent Which minor modifications produce distinct demonstrating independent, collaborative In particular investigating role sensor communication ranges will show increased detrimental system performance, modelling nearby agents’ intent far approach.