October 10, 2025Open Access

Viewpoint-Agnostic Manipulation Policies with Strategic Vantage Selection

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Vantage framework increases task success rates by 25% in dynamic-camera settings with fine-tuning.
Using information gain optimization, Vantage intelligently selects camera poses to enhance viewpoint-agnostic behavior.
Experiments show consistent performance improvements across various manipulation tasks and policy families.
This method balances exploration and exploitation to ensure robust learning and convergence during deployment.

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This viewpoint selection framework improves task success rates in manipulation tasks, suggesting optimal camera poses for better robustness.

Vasudevan et al. (2025) studied this question.

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This viewpoint selection framework improves task success rates in manipulation tasks, suggesting optimal camera poses for better robustness.