Multi-Agent Task Allocation for Robot Soccer

This is the published version. Copyright De GruyterThis paper models and analyzes task allocation methodologies for multiagent systems. The evaluation process was implemented as a collection of simulated soccer matches. A soccer-simulation software package was used as the test-bed as it provided the necessary features for implementing and testing the methodologies. The methodologies were tested through competitions with a number of available soccer strategies. Soccer game scores, communication, robustness, fault-tolerance, and replanning capabilities were the parameters used as the evaluation criteria for the mul1i-agent systems

Task Allocation Methodologies for Multi-Robot Systems

One of most important aspects in the design of multi-robot systems is the allocation of tasks among the robots in a productive and efficient manner. Task allocation methodologies must ensure that not only the global mission is achieved, but also the tasks are well distributed among the robots. An effective task allocation approach considers the available resources, the entities to optimize (time, energy, quality), the capabilities of the deployable robots, and appropriately allocates the tasks accordingly. This paper presents ten such task allocation methodologies for multi-robot systems, providing a review of numerous approaches