Title :
Minimal qualitative topologic world models for mobile robot
Author_Institution :
Dept. of Comput. Sci., Kaiserslautern Univ., Germany
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;
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
DOI :
10.1109/ANNES.1995.499503