Search Results for author: Amos Byon

Found 1 papers, 0 papers with code

MLNav: Learning to Safely Navigate on Martian Terrains

no code implementations9 Mar 2022 Shreyansh Daftry, Neil Abcouwer, Tyler del Sesto, Siddarth Venkatraman, Jialin Song, Lucas Igel, Amos Byon, Ugo Rosolia, Yisong Yue, Masahiro Ono

We present MLNav, a learning-enhanced path planning framework for safety-critical and resource-limited systems operating in complex environments, such as rovers navigating on Mars.

Navigate

Cannot find the paper you are looking for? You can Submit a new open access paper.