NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Collections About News Help Login
Back to Results
A Concept for Planetary Drilling AutonomyIn planetary environments, robotic agents must reason through faults before they escalate to mission-critical failures. No broadly applicable solution exists to give a specialized agent like The Regolith and Ice Drill for ExploringNew Terrain (TRIDENT) awareness for when a situation may escalate to a drilling fault. We propose building on our previous work with online time-series subspace analysis methods and percussive beat frequency detection techniques to define a Markov Decision Process to autonomously avoid drilling faults.
Document ID
20250003932
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Sarah E Boelter (University of Minnesota Minneapolis, United States)
Ebasa Temesgen (University of Minnesota Minneapolis, United States)
Greta Brown (University of Minnesota Minneapolis, United States)
Mario Jerez (University of Minnesota Minneapolis, United States)
Elsa Forberger (University of Minnesota Minneapolis, United States)
Brian J Glass (Ames Research Center Mountain View, United States)
Maria Gini (University of Minnesota Minneapolis, United States)
Date Acquired
April 18, 2025
Subject Category
Cybernetics, Artificial Intelligence and Robotics
Meeting Information
Meeting: IEEE International Conference on Robotics and Automation (ICRA)
Location: Atlanta, GA
Country: US
Start Date: May 19, 2025
End Date: May 23, 2025
Sponsors: IEEE Computer Society, Institute of Electrical and Electronics Engineers
Funding Number(s)
WBS: 811073
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
planetary drilling
TRIDENT
Markov decision process

Related Records

There are no records associated with this record.
No Preview Available