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Immune modelling and programming of a mobile robot demo

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Abstract

An artificial immune system was modelled with self/non-self selection to overcome abnormity in a mobile robot demo. The immune modelling includes the innate immune modelling and the adaptive immune modelling. The self/non-self selection includes detection and recognition, and the self/non-self detection is based on the normal model of the demo. After the detection, the non-self recognition is based on learning unknown non-self for the adaptive immunization. The learning was designed on the neural network or on the learning mechanism from examples. The last step is elimination of all the non-self and failover of the demo. The immunization of the mobile robot demo is programmed with Java to test effectiveness of the approach. Some worms infected the mobile robot demo, and caused the abnormity. The results of the immunization simulations show that the immune program can detect 100% worms, recognize all known Worms and most unknown worms, and eliminate the worms. Moreover, the damaged files of the mobile robot demo can all be repaired through the normal model and immunization. Therefore, the immune modelling of the mobile robot demo is effective and programmable in some anti-worms and abnormity detection applications.

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Authors and Affiliations

  1. School of Information Science and Engineering, Central South University, Changsha, 410083, China

    Gong Tao Doctoral candidate  (龚涛) & Cai Zi-xing  (蔡自兴)

  2. College of Mechatronics and Automation, National University of Defense Technology, Changsha, 310073, China

    He Han-gen  (贺汉根)

Authors
  1. Gong Tao Doctoral candidate  (龚涛)
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  2. Cai Zi-xing  (蔡自兴)
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  3. He Han-gen  (贺汉根)
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Corresponding author

Correspondence to Gong Tao Doctoral candidate  (龚涛).

Additional information

Foundation items: Projects(60234030, 60404021) supported by the National Natural Science Foundation of China; project(040125) supported by the Doctoral Research Grant of Central South University

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Gong, T., Cai, Zx. & He, Hg. Immune modelling and programming of a mobile robot demo. J Cent. South Univ. Technol. 13, 694–698 (2006). https://doi.org/10.1007/s11771-006-0015-7

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  • DOI: https://doi.org/10.1007/s11771-006-0015-7

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