Autor:	Hani Hagras, Victor Callaghan, Martin Colley, Malcolm Carr-West
Rok vydání:	2002
Předmět:	business.industry Computer science Lifelong learning Mobile robot Robot learning ComputingMilieux_GENERAL Artificial Intelligence Control theory Agriculture Human–computer interaction Sustainable agriculture Robot Artificial intelligence business Adaptation (computer science)
Zdroj:	Autonomous Robots. 13:37-52
ISSN:	0929-5593
DOI:	10.1023/a:1015626121039
Popis:	In this paper we will introduce the application of our newly patented double hierarchical Fuzzy-Genetic system (British patent 99-10539.7) to produce an intelligent autonomous outdoor agricultural mobile robot capable of learning and calibrating its controller online in a short time interval and implementing a life long learning strategy. The online and life long learning strategy allow the outdoor robots to increase their experience and adapt their controllers in the face of the changing and dynamic unstructured outdoor agricultural environments. Such characteristics permit prolonged periods of operation within dynamic agricultural environments, which is an essential feature for the realization of a platform vehicle for use in sustainable agriculture and organic farming.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::96426555037314b0371f8782798e7a1c https://doi.org/10.1023/a:1015626121039 Zobrazit plný text záznamu Full text from SpringerLink