Real-time obstacle avoidance for manipulators and mobile robots
International Journal of Robotics Research
Robot Motion Planning
Artficial Immune Systems and Their Applications
Artficial Immune Systems and Their Applications
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
An immunological approach to dynamic behavior control for autonomous mobile robots
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 1 - Volume 1
The Immune System as a Prototype of Autonomous Decentralized Systems: An Overview
ISADS '97 Proceedings of the 3rd International Symposium on Autonomous Decentralized Systems
Antibody repertoires and pathogen recognition: the role of germline diversity and somatic hypermutation
Decentralized control system for autonomous navigation based on an evolved artificial immune network
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Application areas of AIS: The past, the present and the future
Applied Soft Computing
A reactive architecture for autonomous agent navigation using fuzzy logic
ASC '07 Proceedings of The Eleventh IASTED International Conference on Artificial Intelligence and Soft Computing
A Survey of artificial immune applications
Artificial Intelligence Review
A PSO-based algorithm designed for a swarm of mobile robots
Structural and Multidisciplinary Optimization
Mobile robot path planning using polyclonal-based artificial immune network
Journal of Control Science and Engineering - Special issue on Advances in Methods for Networked and Cyber-Physical System
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In this paper, a reactive immune network (RIN) is proposed and employed for mobile robot navigation within unknown environments. Rather than building a detailed mathematical model of artificial immune systems, this study tries to explore the principle in an immune network focusing on its self-organization, adaptive learning capability, and immune feedback. In addition, an adaptive virtual target method is integrated to solve the local minima problem in navigation. Several trapping situations designed by the early researchers are adopted to evaluate the performance of the proposed architecture. Simulation results show that the mobile robot is capable of avoiding obstacles, escaping traps, and reaching the goal efficiently and effectively.