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    "story_id": "mp-2026-08-12-003",
    "source_story_id": "tmp-story-planetary-risk-navigation",
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    "headline": "The Rover Planned for the Ground to Betray It",
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    "dek": "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.",
    "body_text": "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.",
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    "tags": [
      "planetary rovers",
      "motion planning",
      "risk",
      "autonomy"
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      "source_id": "source-2026-08-12-003",
      "title": "arXiv preprint 2608.11175",
      "publisher": "arXiv",
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      "published_at": "2026-08-11T13:34:56.000-04:00",
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    "title": "The Rover Planned for the Ground to Betray It",
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