An immunological approach to dynamic behavior control for autonomous mobile robots

19 November 2002

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

Vol. 1, 495-500
https://doi.org/10.1109/iros.1995.525842

Abstract

Conventional AI technology has been criticized on many grounds such as brittleness under dynamically changing environments. To overcome this problem, other approaches called new AI, emergent computation, animat approach, behavior-based AI and so on were proposed and confirmed their usefulness. On the other hand, biological information processing systems have many interesting functions and are expected to provide various feasible ideas to engineering fields, especially robotics. Immune system plays important roles to maintain its own system against dynamically changing environments. Therefore, we believe that immune system would provide a new paradigm suitable for dynamic problem dealing with unknown environments rather than static problem. In this paper, we propose a new approach to behavior-based AI by paying attention to biological immune system. We confirm the feasibility of our proposed method by applying to a behavior control of an autonomous mobile robot in cluttered environment as a practical example.

Keywords

This publication has 8 references indexed in Scilit:

Fault diagnosis of plant systems using immune networks
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002
A Gait Acquisition of 6-Legged Walking Robot Using Immune Networks.
Journal of the Robotics Society of Japan, 1995
The immune system, adaptation, and machine learning
Physica D: Nonlinear Phenomena, 1986
A robust layered control system for a mobile robot
IEEE Journal on Robotics and Automation, 1986
Parallel Distributed Processing
Published by MIT Press ,1986
The generative grammar of the immune system
Bioscience Reports, 1985
Idiotypic Networks and Other Preconceived Ideas
Immunological Reviews, 1984
The Immune System
Scientific American, 1973