From Algorithms to Flight Software: Resilient AI Applications for Onboard Science Instrument Autonomy
Abstract: This talk will discuss how resilient AI algorithms and software support Onboard Science Instrument Autonomy (OSIA) applications to increase mission science yield. The presentation will connect algorithm development, software implementation, and mission operations considerations, highlighting how onboard autonomy can make science instruments more adaptive, robust, and effective within real spacecraft constraints.
Jack Lightholder received a B.S. in Computer Science from Arizona State University in 2016. He is a member of the Machine Learning and Instrument Autonomy Group at NASA’s Jet Propulsion Laboratory. Jack supports a variety of missions in concept, development and operational phases, including instrument flight software development for the Near Earth Asteroid CubeSat mission and engineering camera operations for the Mars Science Laboratory, Curiosity.
Thu 6 AugDisplayed time zone: Pacific Time (US & Canada) change
10:20 - 11:50 | |||
10:20 25mTalk | Artificial Intelligence/Machine Learning on Safety Critical Systems Resilient AI Scott Tashakkor NASA | ||
10:45 25mTalk | From Algorithms to Flight Software: Resilient AI Applications for Onboard Science Instrument Autonomy Resilient AI Jack Lightholder Jet Propulsion Laboratory, California Institute of Technology | ||
11:10 25mTalk | AI That Knows How to Come Home: Preventing Hidden Alignment Drift in Space Systems Resilient AI | ||
11:35 15mTalk | Open Discussion Resilient AI | ||