Rob Hewitt is a PhD student at Queen’s University in the Department of Electrical and Computer Engineering and a member of the Mining Systems Laboratory. His research focuses on the use of intensity information from LiDAR to improve certain applications of SLAM. Rob is also a graduate of the engineering physics program at the University of Saskatchewan and has a Master’s in aerospace engineering from Carleton University. During the 2015-16 academic year, Rob was on placement at the European Space Agency in The Netherlands where he worked at ESTEC: European Space Research and Technology Centre, funded on contract by ESA’s Network/Partnering Initiative (NPI).
E. Boukas, R. A. Hewitt, M. Pagnamenta, R. Nelen, M. Azkarate, J. A. Marshall, A. Gasteratos, and G. Visentin. HDPR: A mobile testbed for current and future rover technologies. In Proceedings of the 14th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS 2016), Beijing, China, June 2016.
R. Hewitt and J. A. Marshall. Towards intensity-augmented SLAM with LiDAR and ToF sensors. In Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, September 2015. DOI: 10.1109/IROS.2015.7353634
R. Hewitt and B. Lynch. Lunar prospecting: Autonomous localization of volatiles on the Moon with a mobile robot. In Proceedings of the 12th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS 2014), Montreal, QC, June 2014.
R. Hewitt and J. A. Marshall. State of the Art on SLAM, vehicle dynamics and feature detectors for LiDAR sensors. Technical report issued to the European Space Agency (ESA) under contract 4000108490/13/NL/PA, December 6, 2013.