Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/57280
Title: Robot navigation system using intrinsic evolvable hardware
Authors: Tan, K.C. 
Lee, T.H. 
Ruk, X.
Wang, L.F.
Liu, X.
Keywords: Autonomous mobile robot
Boolean function controller
Genetic algorithm
Intrinsic evolvable hardware
Issue Date: Sep-2001
Source: Tan, K.C.,Lee, T.H.,Ruk, X.,Wang, L.F.,Liu, X. (2001-09). Robot navigation system using intrinsic evolvable hardware. Journal of Harbin Institute of Technology (New Series) 8 (3) : 261-266. ScholarBank@NUS Repository.
Abstract: Recently there has been great interest in the idea that evolvable system based on the principle of artificial intelligence can be used to continuously and autonomously adapt the behaviour of physically embedded systems such as autonomous mobile robots and intelligent home devices. Meanwhile, we have seen the introduction of evolvable hardware (EHW): new integrated electronic circuits that are able to continuously evolve to adapt the changes in the environment implemented by evolutionary algorithms such as genetic algorithms (GA) and reinforcement learning. This paper concentrates on developing a robotic navigation system whose basic behaviours are obstacle avoidance and light source navigation. The results demonstrate that the intrinsic evolvable hardware system is able to create the stable robotic behaviours as required in the real world instead of the traditional hardware systems.
Source Title: Journal of Harbin Institute of Technology (New Series)
URI: http://scholarbank.nus.edu.sg/handle/10635/57280
ISSN: 10059113
Appears in Collections:Staff Publications

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