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Larry Matthies is a Senior Research Scientist at JPL in the Mobility and Robotic Systems Section. He is a member of the editorial boards for the Autonomous Robots journal and the Journal of Field Robotics. His research interests are in perception for autonomous navigation of robotic vehicles of all varieties. He is currently the Technology Coordinator for the Mars Exploration Program office at JPL.
Ph.D. in Computer Science, 1989, Carnegie Mellon University
M.Math. in Computer Science, 1981, University of Waterloo
B.Sc. in Computer Science, 1979, University of Regina
Mars Exploration Program Technology Coordinator since 2020
Senior Research Scientist since 2001
Principal Member of Technical Staff since 1999
Group Supervisor, 1997-2018
Principal investigator, New Millennium ST9 Concept Study Phase, "Descent Image Navigation and Hazard Detection"
Principal investigator/task manager of numerous research tasks in computer vision funded by NASA, DARPA, U.S. Army, and other sponsors since 1992
Participated in development of vision systems for Mars Exploration Rover and Mars Pathfinder missions and the Ingenuity Mars helicopter. Vision algorithm work from his group has impacted every U.S. Mars surface mission since Pathfinder.
Perception systems for autonomous navigation of robotic vehicls of all kinds. Perception interests include 3-D sensing, visual motion estimation, obstacle detection, terrain classification using multispectral active and passive sensors and texture analysis, and custom hardware implementations of real-time vision systems.
2019 AIAA GNC Conference best paper
2017 IROS Conference best cognitive robotics paper
2017 IEEE Embedded Vision Workshop best poster
2016 IEEE ICRA Conference best vision paper
2012 IEEE ICRA Conference finalist for best manipulation paper
2009 IEEE Trans. Robotics best paper of the year
2008 IEEE Robotics and Automation Award
2007 NASA Exceptional Achievement Medal
Finalist, best student paper, Robotics Science and Systems conference, lead author: A. Angelova, "Dimensionality reduction using automatic supervision for vision-based terrain learning"
2006 Best Paper Award, Robotics Society of Japan, for "Slip-compensated path following for planetary exploration rovers", Advanced Robotics, vol. 20, no. 11, 2006. D.M. Helmick, S.I. Roumeliotis, Y. Cheng, D.S. Clouse, M. Bajracharya, L.H. Matthies
2006 John I. Davidson Presidents Award for Practical Papers (First Place), American Society for Photogrammetry and Remote Sensing, for "Initial results of rover localization and topographic mapping for the 2003 Mars Exploration Rover Mission", R. Li et al.
Finalist, best vision paper, IEEE International Conference on Robotics and Automation, lead author: A. Stein, "Attenuating stereo pixel-locking via affine window adaptation"