VersaCamVLA: Camera-Configurable VLA Policies for Robotic Manipulation
Overview
VersaCamVLA decouples camera settings from action learning, enabling flexible robotic manipulation across varying camera configurations. It uses multi-signal target-view prediction and scene tokens for deployment readiness in VLA models.
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- arXiv Robotics — research abstractsVersaCamVLA: Camera-Configurable VLA Policies for Robotic Manipulation
The paper presents VersaCamVLA, a framework that decouples camera-set representation from action learning, allowing for flexible and robust robotic manipulation across varying camera configurations. It uses multi-signal target-view prediction and Wrist-Augmented Pose Sampling to generate diverse poses, and injects compact scene tokens into a pretrained VLA model for deployment.
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