Learning topological maps: An alternative approach
Conference
·
OSTI ID:430856
- Univ. of Bonn (Germany)
Our goal is autonomous real-time control of a mobile robot. In this paper we want to show a possibility to learn topological maps of a large-scale indoor environment autonomously. In the literature there are two paradigms how to store information on the environment of a robot: as a grid-based (geometric) or as a topological map. While grid-based maps are considerably easy to learn and maintain, topological maps are quite compact and facilitate fast motion-planning.
- OSTI ID:
- 430856
- Report Number(s):
- CONF-960876-; TRN: 96:006521-0232
- Resource Relation:
- Conference: 13. National conference on artifical intelligence and the 8. Innovative applications of artificial intelligence conference, Portland, OR (United States), 4-8 Aug 1996; Other Information: PBD: 1996; Related Information: Is Part Of Proceedings of the thirteenth national conference on artificial intelligence and the eighth innovative applications of artificial intelligence conference. Volume 1 and 2; PB: 1626 p.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Integrating grid-based and topological maps for mobile robot navigation
Inverse reinforcement learning control for building energy management
Topological exploration of subterranean environments
Conference
·
Tue Dec 31 00:00:00 EST 1996
·
OSTI ID:430856
Inverse reinforcement learning control for building energy management
Journal Article
·
Sun Mar 05 00:00:00 EST 2023
· Energy and Buildings
·
OSTI ID:430856
Topological exploration of subterranean environments
Journal Article
·
Thu Jun 15 00:00:00 EDT 2006
· Journal of Field Robotics
·
OSTI ID:430856
+1 more