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A New Multi-Robot Self-Determination Cooperation Method Based on Immune Agent Network

Yunyuan Gao, Wei Wei

Year
2006
Citations
12

Abstract

In this paper, we propose an immune agent model combining the artificial immune system with the agent technology. In the model, a robot is regarded as an antibody and each environmental condition as an antigen respectively. Furthermore, based on the model, a new multi-robots cooperation algorithm is designed to build self-determination cooperation among robots even in a new environment. Inspired by pheromone from ants algorithm, a new pheromone as Inter-stimulus between robots in the model is introduced to the algorithm. By comparing the inter-stimulus value between antigen and antibody and among antibodies, the system will autonomously produce appropriate antibodies to kill the antigen. Finally, the model will be verified by simulation.

Keywords

RobotArtificial immune systemComputer scienceStimulus (psychology)Immune systemArtificial intelligenceImmunologyBiology

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