Change search
ReferencesLink to record
Permanent link

Direct link
Fault detection for mobile robots using redundant positioning systems
KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.
KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS. KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.ORCID iD: 0000-0002-1170-7162
2006 (English)In: 2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-10, NEW YORK, NY: IEEE , 2006, 3781-3786 p.Conference paper (Refereed)
Abstract [en]

Reliable navigation is a very important part of an autonomous mobile robot system. This means for instance that the robot should not lose track of its position, even if unexpected events like wheel slip and collisions occur. The standard approach to this problem is to construct a navigation system that is robust in itself. This paper proposes that detecting faults can also be made outside the normal navigation system, as an additional fault detector. Besides increasing the robustness, a means for detecting deviations is obtained, which can be important for the rest of the robot system, for instance the top level planner. The method uses two or more sources of robot position estimates, and compares them to detect unexpected deviation without getting deceived by drift or different characteristics in the position systems it gets information from. Both relative and absolute position sources can be used. meaning that existing positioning systems already implemented can be used in the detector. For detection purposes, an extended Kalman filter is used in conjunction with a CUSUM test. The detector is able to not only detect faults, but also give an estimate of when the fault occurred, which is useful for doing fault recovery. The detector is easy to implement, as it requires no modification of existing systems. Also the computational demands are very low. The approach is implemented and demonstrated on a mobile robot, using odometry and a scan matcher as sources of position information. It is shown that the system is able to detect wheel slip in real-time.

Place, publisher, year, edition, pages
NEW YORK, NY: IEEE , 2006. 3781-3786 p.
Keyword [en]
Autonomous agents, Collision avoidance, Computational methods, Kalman filtering, Navigation, Position control, Problem solving, Redundant manipulators
National Category
URN: urn:nbn:se:kth:diva-42047DOI: 10.1109/ROBOT.2006.1642280ISI: 000240886908025ScopusID: 2-s2.0-33845601777ISBN: 0-7803-9505-0OAI: diva2:446468
IEEE International Conference on Robotics and Automation (ICRA). Orlando, FL. MAY 15-19, 2006
QC 20111007Available from: 2011-10-07 Created: 2011-10-05 Last updated: 2012-03-21Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Sundvall, PaulJensfelt, Patric
By organisation
Centre for Autonomous Systems, CASComputer Vision and Active Perception, CVAP

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 28 hits
ReferencesLink to record
Permanent link

Direct link