ISSN:
1433-7479
Keywords:
Keywords: Mo bile robot for service use
;
soft computing
;
intelligent control
;
navigation
;
technology operations
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
Notes:
Abstract The arrangement principles and design methodology on soft computing for complex control framework of AI control system in Part 1 of this paper are developed. The basis of this methodology is computer simulation of dynamics for mechanical robotic system with the help of qualitative physics and search for possible solutions by genetic algorithms (GA). In Part 2 optimal solutions for navigation with avoidance of obstacles and technological operations as opening of door with a manipulator on GA and fuzzy neural network (FNN) are obtained and knowledge base (KB) for fuzzy controller is formed. Fuzzy qualitative simulation, GA and hierarchical node map (HN), and FNN have demonstrated their effectiveness for path planning of a mobile robot for service use. The results of fuzzy robot control simulation, monitoring, and experimental investigations are described.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/s005000050011
