Towards brain-based sensor fusion for navigating robots

Jacobson, Adam & Milford, Michael (2012) Towards brain-based sensor fusion for navigating robots. In Carnegie, Dale (Ed.) Proceedings of the 2012 Australasian Conference on Robotics & Automation, Australian Robotics & Automation Association, Wellington, New Zealand.

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Current state of the art robot mapping and navigation systems produce impressive performance under a narrow range of robot platform, sensor and environmental conditions, in contrast to animals such as rats that produce “good enough” maps that enable them to function under an incredible range of situations. In this paper we present a rat-inspired featureless sensor-fusion system that assesses the usefulness of multiple sensor modalities based on their utility and coherence for place recognition during a navigation task, without knowledge as to the type of sensor. We demonstrate the system on a Pioneer robot in indoor and outdoor environments with abrupt lighting changes. Through dynamic weighting of the sensors, the system is able to perform correct place recognition and mapping where the static sensor weighting approach fails.

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ID Code: 57796
Item Type: Conference Paper
Refereed: Yes
Keywords: Navigating robots, Robot mapping, Brain-based
ISBN: 978-0-9807404-3-1
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Control Systems Robotics and Automation (090602)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 (Please consult the authors).
Deposited On: 06 Mar 2013 05:08
Last Modified: 09 Sep 2016 05:19

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