DocumentCode
1661951
Title
Minimal qualitative topologic world models for mobile robot
Author
Zimmer, Uwe R.
Author_Institution
Dept. of Comput. Sci., Kaiserslautern Univ., Germany
fYear
1995
Firstpage
338
Lastpage
341
Abstract
World models for mobile robots as introduced in many projects, are mostly redundant regarding similar situations detected in different places. The present paper proposes a method for dynamic generation of a minimal world model based on these redundancies. The technique is an extention of the qualitative topologic world modelling methods. As a central aspect the reliability regarding error-tolerance and stability is emphasized. The proposed technique demands very low constraints on the kind and quality of the employed sensors as well as for the kinematic precision of the utilized mobile platform. Hard real-time constraints can be handled due to the low computational complexity. The principal discussions are supported by real-world experiments with the mobile robot “ALICE”
Keywords
artificial intelligence; mobile robots; neural nets; path planning; spatial reasoning; topology; error-tolerance; hard real-time constraints; kinematic precision; minimal qualitative topologic world models; mobile robot; stability; Artificial neural networks; Computational complexity; Computer science; Kinematics; Mobile robots; Navigation; Redundancy; Sensor phenomena and characterization; Stability; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
Conference_Location
Dunedin
Print_ISBN
0-8186-7174-2
Type
conf
DOI
10.1109/ANNES.1995.499503
Filename
499503
Link To Document