Efficient goal directed navigation using RatSLAM

Milford, Michael, Wyeth, Gordon, & Prasser, David (2005) Efficient goal directed navigation using RatSLAM. In Proceedings of IEEE International Conference on Robotics and Automation 2005, IEEE, Palau de Congressos de Catalunya, Barcelona.

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RatSLAM is a system for vision based Simultaneous Localization and Mapping (SLAM) that has been shown to be capable of building stable representations of real world environments. In this paper we describe a method for using RatSLAM representations as the basis for navigation to designated goal locations. The method uses a new component, goal memory, to learn the temporal gradient between places. Paths are recalled or inferred from the goal memory by following the temporal gradient from the robot’s current position to the goal location. Experimental results have been gathered in a combined office and laboratory environment using a Pioneer robot. The experiments show that the robot can perform vision based SLAM on-line and in real time, and then use those representations immediately to navigate directly to designated goal locations.

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ID Code: 32883
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Goal Memory, Mapping, Naigation, SLAM
ISBN: 078038914X
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101)
Deposited On: 24 Jun 2010 01:31
Last Modified: 29 Feb 2012 14:14

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