The Lunar Autonomy Challenge tasks student teams with developing an autonomous agent that controls a simulated lunar robot as it maps the surface of the moon surrounding a lunar landing module. The agent will be assessed in its ability to: 1) successfully and efficiently navigate the area around the lander while balancing battery use, 2) produce an accurate map of the lunar surface elevation and 3) correctly identify non-transversable rocks in the area. The challenge is run by NASA and JHU APL in support of future Artemis missions.
Round 1: Applications
Simply go to the application form, fill it out, and submit!
Round 2: Interviews
Lunar Autonomy interviews will follow a traditional interview format, consisting of a mix of behavioral & technical questions.