Onboard Planner for Mars2020 Rover (Perseverance)
Description
The M2020 onboard scheduler incrementally constructs a feasible schedule by iterating through activities in priority-first order.
Detailed example
When considering each activity it computes the valid time intervals for placement, taking into account preheating, maintenance heating, and wake/sleep of the rover as required. After an activity is placed (other than a preheat/maintenance or wake/sleep), the activity is never reconsidered by the scheduler for deletion or moving. Therefore the scheduler can be considered non backtracking, and only searches in the sense that it computes valid timeline intervals for legal activity placement.
AI / analytics pattern
Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Research, experiments, and engineering to empower future rovers with onboard autonomy; planning, scheduling & execution; path planning; onboard science; image processing; terrain classification; fault diagnosis; and location estimation. This is a multi-faceted effort and includes experimentation and demonstrations on-site at JPL's simulated mars navigation yard.
Controls / human review
ATO: No; PIA: Not published
Data needed
terrain input