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Learning motion latents through geometric prediction enables robots to manipulate objects robustly in cluttered environments with minimal prior demonstrations.
Tri-Info achieves 83% accuracy in real-world failure detection for VLA models without retraining, revealing critical insights into model behavior across diverse tasks.
