Travis Brown — accepted AI-conference papers

2020

Navigation on the Line: Traversability Analysis and Path Planning for Extreme-Terrain Rappelling Rovers

Michael Paton, Marlin P. Strub, Travis Brown, Rebecca J. Greene, Jacob Lizewski, Vandan Patel +2

IROS 2020poster

Many areas of scientific interest in planetary exploration, such as lunar pits, icy-moon crevasses, and Martian craters, are inaccessible to current wheeled rovers. Rappelling rovers can safely traverse these steep surfaces, but require techniques to navigate their complex terrain. This dynamic navi…

Cited by 23 Source ↗Scholar ↗

2018

Series Elastic Tether Management for Rappelling Rovers

Travis Brown, Alessandro Stefanini, Jacek Sawoniewicz, Issa Nesnas, Nikola Georgiev

IROS 2018poster

The Axel rappelling rover was designed to enable access to intriguing and important science sites that lie in difficult terrains that are inaccessible to conventional rovers. Extended autonomous rappelling calls for careful control of tether tension, precise management of tether spooling, and some m…

Cited by 5 Source ↗Scholar ↗