Larry Matthies is affiliated with the Jet Propulsion Lab in the United States. Their research spans multiple fields including Engineering, Physics and Astronomy, and Computer Science, with a strong focus on subfields such as Astronomy and Astrophysics, Aerospace Engineering, and Computer Vision and Pattern Recognition. Matthies' work intersects various specialized topics, notably Planetary Science and Exploration, Robotics and Sensor-Based Localization, and Robotic Path Planning Algorithms.
Their recent scholarly contributions include papers published in venues such as the 2022 IEEE Aerospace Conference (AERO), Astrobiology, IEEE Robotics and Automation Letters, and the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Notable papers include:
Throughout their career, Matthies has frequently collaborated with several researchers, including Shreyansh Daftry, Jeff Delaune, Roland Brockers, Deegan Atha, and R. Michael Swan. These collaborations have contributed to a body of research focused on autonomous navigation and robotics in planetary environments.
Their publication record shows consistent contributions to venues emphasizing aerospace and robotics, such as arXiv (Cornell University), with six publications, and multiple appearances in the IEEE Aerospace Conference and related journals.
Larry Matthies' research concentrates on integrating advanced perception systems and robotics to improve autonomous navigation capabilities for unmanned vehicles, particularly in challenging environments like Mars. The topics covered in their work include Space Science and Extraterrestrial Life, Advanced Vision and Imaging, and Spacecraft Dynamics and Control, indicating a multidisciplinary approach spanning hardware and software aspects of exploration technology.
The scientist has been recognized with several awards, including the IEEE Robotics & Automation Award in 2008 for contributions to autonomous operations of science investigations under extreme planetary conditions. In 2010, Matthies was named an IEEE Fellow for work on perception systems for autonomous navigation of unmanned vehicles.
Larry Matthies;Richard Szeliski;Takeo Kanade
Mark W. Maimone;Yang Cheng;Larry H. Matthies
L. Matthies;S. A. Shafer
R. Manduchi;A. Castano;A. Talukder;L. Matthies
S.B. Goldberg;M.W. Maimone;L. Matthies
A.I. Mourikis;N. Trawny;S.I. Roumeliotis;A.E. Johnson
Clark F. Olson;Larry H. Matthies;Marcel Schoppers;Mark W. Maimone
Larry Matthies
Michael S. Ryoo;Larry Matthies
L. Matthies;E. Gat;R. Harrison;B. Wilcox
L. Matthies;A. Elfes
Yang Cheng;Mark Maimone;Larry Matthies
P. Bellutta;R. Manduchi;L. Matthies;K. Owens
Larry Matthies;Mark Maimone;Andrew Johnson;Yang Cheng
Yang Cheng;M.W. Maimone;L. Matthies
C. Thorpe;L. Matthies
Larry H. Matthies;Yalin Xiong;Robert W. Hogg;David Zhu
Larry Henry Matthies;Steven A. Shafer
C.F. Olson;L.H. Matthies;H. Schoppers;M.W. Maimone
Gabe Sibley;Larry Matthies;Gaurav Sukhatme
Larry Matthies;Steven A. Shafer
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