robotics
Pairwise Scoring Picked the Wrong Robot Plan on Six of Seven Maps
Dropping three- and four-robot interactions produced regret as high as 0.337 of map coverage.
Summary
Dropping three- and four-robot interactions produced regret as high as 0.337 of map coverage.
Researchers replayed all 16 subsets of each four-robot exploration plan to calculate exact delivered coverage, then compared that ranking with scores built only from singleton and pair terms. At the 15-meter candidate range, the order-two approximation changed the selected plan on six of seven maps in each of two plan families, with regret up to 0.337 of total map coverage. A least-squares pairwise fit improved the result but still changed the winner on three of seven maps per family.
Why it matters
Dropping three- and four-robot interactions produced regret as high as 0.337 of map coverage.
Limits and context
- Researchers replayed all 16 subsets of each four-robot exploration plan to calculate exact delivered coverage, then compared that ranking with scores built only from singleton and pair terms.
Key claims
Dropping three- and four-robot interactions produced regret as high as 0.337 of map coverage.
Qualification: Researchers replayed all 16 subsets of each four-robot exploration plan to calculate exact delivered coverage, then compared that ranking with scores built only from singleton and pair terms.
Evidence: source-2026-09-25-011
Sources
- arXiv preprint 2609.29929arXiv · primary research
Corrections
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