سال انتشار: ۱۳۸۳

محل انتشار: دهمین کنفرانس سالانه انجمن کامپیوتر ایران

تعداد صفحات: ۷

نویسنده(ها):

m sabeti – department of computer science and engineering shiraz university
p zahadat –
s.d katebi –

چکیده:

we discuss some issues concerning the application of learning classifier system LCS to real -world applications we present the impact of using LCS applied to a mobile, autonomous robotics agent the motivation behind this approach is that classifier systems will be capable of genrating compact high performance rule sets which are genral and accurate. this paper proposes a new real time sensor based navigation method using LCS for navigation of a mobile robot in any uncertain environment. the proposed schems learns the high performance rule sets which are generalized to any workspace.