Tyler Del Sesto — accepted AI-conference papers

2026

Enhanced Autonomous Navigation on the Perseverance Mars Rover (I)

Olivier Toupet, Masahiro Ono, Tyler Del Sesto, Mark Maimone, Michael McHenry

ICRA 2026poster

This paper presents Enhanced Autonomous Navigation, or ENav, the autonomous driving algorithm of NASA's Mars rover Perseverance. A unique challenge for the autonomous driving of Perseverance is to meet strict safety and performance requirements in a highly uncertain environment with only a single-co…

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2022

MLNav: Learning to Safely Navigate on Martian Terrains

Shreyansh Daftry, Neil Abcouwer, Tyler del Sesto, Siddarth Venkatraman, Jialin Song, Lucas Igel +4

RA-L 2022

We present <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MLNav</i> , a learning-enhanced path planning framework for safety-critical and resource-limited systems operating in complex environments, such as rovers navigating on Mars. MLNav makes judi

Cited by 23 Source ↗Scholar ↗