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
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;
Conference_Titel :
Intelligent Control, 1988. Proceedings., IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
0-8186-2012-9
DOI :
10.1109/ISIC.1988.65493
