robotics
The Robot Moved to See What the Object Could Do
FUSE chooses new viewpoints when function-defining clues are hidden, rather than grounding an affordance from one fixed view.
Summary
FUSE chooses new viewpoints when function-defining clues are hidden, rather than grounding an affordance from one fixed view.
The authors define active functional affordance grounding: an embodied agent must explore until it can locate an object that satisfies a functional request. FUSE combines uncertainty-guided evidence gathering with a learned planner and is evaluated in a new Habitat-based benchmark. It reached the best reported non-oracle grounding result while using 1.33 times less computation than fully explicit exploration; this is benchmark evidence, not a general household-robot demonstration.
Why it matters
FUSE chooses new viewpoints when function-defining clues are hidden, rather than grounding an affordance from one fixed view.
Limits and context
- It reached the best reported non-oracle grounding result while using 1.33 times less computation than fully explicit exploration; this is benchmark evidence, not a general household-robot demonstration.
Key claims
FUSE chooses new viewpoints when function-defining clues are hidden, rather than grounding an affordance from one fixed view.
Qualification: It reached the best reported non-oracle grounding result while using 1.33 times less computation than fully explicit exploration; this is benchmark evidence, not a general household-robot demonstration.
Evidence: source-2026-08-15-006
Sources
- arXiv preprint 2608.12683arXiv · primary research
Corrections
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