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September 27, 2025Open Access

Grounding Actions in Camera Space: Observation-Centric Vision-Language-Action Policy

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OC-VLA improves model resilience to variations in camera viewpoints, leading to better action predictions.
Comprehensive evaluations show that OC-VLA enhances task success rates and accelerates convergence on robotic manipulation tasks.
Using extrinsic calibration, OC-VLA transforms poses to unify prediction targets across diverse perspectives.
The lightweight design of OC-VLA allows compatibility with existing VLA architectures without significant alterations.

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Observation-Centric VLA framework improves action prediction in camera space, enhancing robotic manipulation capabilities.

Zhang et al. (2025) studied this question.

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