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Bioinspired computation and control of immune robots
龚  涛12蔡自兴1江中央1夏  洁1罗一丹1
1.中南大学 信息科学与工程学院,湖南长沙410083;
GONG Tao1 2CAI Zi-xing1JIANG Zhong-yang1XIA Jie1LUO Yi-d an1
1. School of Information Science and Engineering, Central South University, Cha ngsha 410083, China ;
2. College of Information Science and Technology, Donghua University, Shanghai 201620, China
immune robots immune computation immune control in telligent systems
In traditional study of mobile robots it is assumed that the envir onment is secure and that the robots will neither be attacked, nor fall prey to earthquakes, traps or volcanoes. To enhance adaptability of unmanned robots work ing in dangerous environments, and increase their resistance, fault tolerance an d immunity against outside disturbances, attack and damage, a bioinspired comp u ting model and control method was proposed to create an immune robot. This biolo gical immune system was simulated, an immune computation model and immune contro l architecture for the robots was built, and self/nonself detection, recogniti o n, learning, repair, robustness, and immunity were designed into the biological immune system. These techniques for immune robots can be used to detect, recogni ze and predict dangerous and variational environments, detect the states of the robots and repair them when they are in abnormal states, and carry out bioinsp i red control of robots in extreme environments. These are significant theories wh ich should lead to innovative technology and useful applications.


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龚涛,男,1978年生,博士,讲师,Sigma Xi正式会员,主要研究方向为免疫计算、免疫机器人、人工智能、免疫控制,已发表论文35篇以上,出版著作10余部. E-mail: taogongchina@gmail.com.
江中央,男,1982年生,硕士研究生,主要研究方向为免疫控制、智能控制和嵌入式系统. 
更新日期/Last Update: 2009-05-07