Papers/2610.00003
🧪 Test?View on arXiv

STATERA: Hidden Mass Estimation via Zero-Shot Sim-to-Real Kinematics using Frozen Temporal Tubelets

Author1, Author2, Author3, Author4, Author5

sim-to-realkinematicshidden mass estimationvideo analysis
2610.00003
Builder Relevance
70%
1h ago

Abstract

This paper presents STATERA, a method for estimating the center-of-mass of opaque, asymmetric rigid bodies from monocular video, improving the accuracy of hidden mass estimation.

Reality Card

Core Claim

STATERA improves normalized center-of-mass error from 41.7% to 25.2% in simulation and enhances physics capture from 2.6% to 41.0% in zero-shot sim-to-real transfer.

Method / Result

Normalized CoM error improved from 41.7% to 25.2%.

Limitations

The method's performance may vary due to the trade-off in supervision between phase-aware and phase-agnostic targets.

Paper to code

Verified implementation resources so builders can test the paper’s claims instead of stopping at the abstract.

No verified implementation link has been attached yet. AIBuzzHub will keep this panel separate from unverified search results.
← Back to all papers