robotics
The Rover Planned for the Ground to Betray It
A two-stage planner used conditional value-at-risk to cut simulated and hardware navigation risk by more than 97 percent.
Summary
A two-stage planner used conditional value-at-risk to cut simulated and hardware navigation risk by more than 97 percent.
The method first uses an asymptotically optimal sampling planner to find a dynamically feasible route, then refines that route with sequential convex programming. It explicitly carries uncertainty from terrain interaction and perception into a conditional-value-at-risk objective. Across the authors' simulation and hardware experiments, trajectory risk fell by more than 97 percent. The result is a research demonstration of a planning method, not an operational planetary-mission validation.
Why it matters
A two-stage planner used conditional value-at-risk to cut simulated and hardware navigation risk by more than 97 percent.
Limits and context
- The result is a research demonstration of a planning method, not an operational planetary-mission validation.
Key claims
A two-stage planner used conditional value-at-risk to cut simulated and hardware navigation risk by more than 97 percent.
Qualification: The result is a research demonstration of a planning method, not an operational planetary-mission validation.
Evidence: source-2026-08-12-003
Sources
- arXiv preprint 2608.11175arXiv · primary research
Corrections
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