robotics
The Robot Needed a Better View, Not a Bigger Policy
SpatialHarness changes test-time spatial observability for fine manipulation instead of retraining the foundation model.
Summary
SpatialHarness changes test-time spatial observability for fine manipulation instead of retraining the foundation model.
SpatialHarness starts from the idea that a strong robot policy can fail because critical spatial relationships are poorly visible from the installed cameras. The test-time harness adds spatial scaffolding that reveals those relationships before a multimodal model chooses fine manipulation actions. The paper evaluates the approach with frontier multimodal systems and physical manipulation tasks, presenting observability as a separate bottleneck from policy capability. That distinction matters operationally: a model upgrade cannot recover evidence a camera never captured. The reported method is a research harness, not a claim that arbitrary camera movement or extra views will safely repair every manipulation failure.
Why it matters
SpatialHarness changes test-time spatial observability for fine manipulation instead of retraining the foundation model.
Limits and context
- That distinction matters operationally: a model upgrade cannot recover evidence a camera never captured.
- The reported method is a research harness, not a claim that arbitrary camera movement or extra views will safely repair every manipulation failure.
Key claims
SpatialHarness changes test-time spatial observability for fine manipulation instead of retraining the foundation model.
Qualification: That distinction matters operationally: a model upgrade cannot recover evidence a camera never captured.
Evidence: source-2026-10-10-011
Sources
- arXiv preprint 2610.12457, original v1arXiv / submitting research authors · primary research
Corrections
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