DocumentCode
2518011
Title
A learning algorithmic scheme for collision free navigation
Author
Bourbakis, Nikolaos G.
Author_Institution
Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA, USA
fYear
1988
fDate
24-26 Aug 1988
Firstpage
569
Lastpage
573
Abstract
A learning algorithmic scheme for collision-free navigation is presented. This scheme determines the minimum collision-free navigation path of an autonomous platform by using a trial and error process and past navigation knowledge and by extracting the current information from the surrounding environment. This scheme is related to the Odysseus autonomous navigation platform. However, it could be made into a general-purpose scheme with simple modifications. Simulated results for an illustrative example in a graphical representation are provided
Keywords
artificial intelligence; learning systems; mobile robots; navigation; Odysseus; artificial intelligence; autonomous platform; collision free; learning algorithmic scheme; machine learning; navigation; Computer errors; Computer vision; Counting circuits; Goniometers; Machine vision; Orbital robotics; Reflective binary codes; Sonar navigation; Tree data structures; Wheels;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 1988. Proceedings., IEEE International Symposium on
Conference_Location
Arlington, VA
ISSN
2158-9860
Print_ISBN
0-8186-2012-9
Type
conf
DOI
10.1109/ISIC.1988.65493
Filename
65493
Link To Document