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A conceptual model for multi-robot cooperation inspired by immune network theory and somatic hypermutation

机译:一种受免疫网络理论启发的多机器人合作的概念模型和体躯体超责任

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This paper presented biological immune system, immune response, and immune learning through somatic hypermutation. The proposed approach is based on immune network theory since they share common aspects with a multi-robot system. In order to improve the cooperative behavior in multi-robot systems, a conceptual model is presented by integrating the immune network algorithm with somatic hypermutation (SHM) theory. An analogy between the immune system and multi-robot system is discussed as well to show the relationship between immune system environment and robotics environment. The learning mechanism in the antibody is adapted to the robot action thus, the robot is expected to perform better since they adapt to the environment. The proposed model will be implemented in robot simulation environment for future works.
机译:本文通过体细胞高原呈现生物免疫系统,免疫应答和免疫学习。所提出的方法是基于免疫网络理论,因为它们与多机器人系统共享共同方面。为了改善多机器人系统中的协作行为,通过将免疫网络算法与体细胞超责任(SHM)理论集成来呈现概念模型。讨论了免疫系统和多机器人系统之间的类比,也展示了免疫系统环境和机器人环境之间的关系。因此,抗体中的学习机制适用于机器人动作,因此,由于它们适应环境来实现更好的机器人。拟议的模型将在机器人仿真环境中实现,以备将来作品。

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