The immune system is one of the adaptive biological systems whose functions are to identify and to eliminate foreign materials. The immune system is mainly composed of MHC to identify non-self and Immune Network. The Immune Network is a mechanism, the immune response is carried out by selfregulation, and is composed of immune cells and their interaction. In this paper, we propose a system that controls the behaviors of an autonomous mobile robot by teacher robots composed of the Immune Algorithm based on Self-Preservation. The teacher robots have sensor using MHC and learning method for adaptive behaviors using Immune Network whose principle of operations are based on the interaction. To investigate the validity of our system, we simulate on Khepera Simulator and examine its result.
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