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UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

arXiv — cs.LG•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence

UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

The introduction of UniVLA marks a significant advancement in robotics, enabling robots to learn and adapt across various environments without being limited by their physical specifications. This framework addresses the common challenges faced by existing systems that rely on extensive action-annotated data, allowing for more versatile and transferable knowledge. As robots become increasingly capable of performing tasks in diverse settings, this innovation could lead to more effective applications in industries ranging from manufacturing to healthcare, ultimately enhancing efficiency and productivity.
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