Autonomous Space Robotics LabAndrew Lambert
MASc Student (Toronto) |
Contact Info
Institute for Aerospace Studies |
ResearchVisual odometry (VO) has proven to be a crucial tool for accurate localization of the Mars Exploration Rovers in high-wheel-slip environments. Unfortunately, the error of VO grows super-linearly with distance, and limited computational resources on the MERs cause the processing of VO updates to be quite slow. My research focuses on techniques for improving the accuracy and efficiency of visual odometry; in particular, I am interested in incorporating alternate sensors into the visual odometry pipeline, in order to improve performance with minimal additional computational cost.
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EducationM.A.Sc. Student, Aerospace Engineering, University of Toronto (September 2009 - present) B.Eng., Mechanical Engineering, McMaster University, 2009 |
PublicationsConference PapersFull-Paper-RefereedLambert A, Furgale P T, Barfoot T D, and Enright J. "Visual Odometry Aided by a Sun Sensor and Inclinometer". In Proceedings of the IEEE Aerospace Conference, #1279. Big Sky, Montana, USA, 5-12 March 2011. doi:10.1109/AERO.2011.5747268. Bone G M, Lambert A, and Edwards M. "Automated Modelling and Robotic Grasping of Unknown Three-Dimensional Objects". In Proceedings of the 2008 IEEE International Conference on Robotics and Automation (ICRA), pages 292-298. Pasadena, California, USA, 19-23 May 2008. doi:10.1109/ROBOT.2008.4543223. |
Last Updated: June 29, 2010. |