Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications

Amid growing efforts to leverage advances in large language models (LLMs) and vision-language models (VLMs) for robotics, Vision-Language-Action (VLA) models have recently gained significant attention. By unifying vision, language, and action data at scale, which have traditionally been studied sepa...

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Podrobná bibliografie

Hlavní autoři:	Kento Kawaharazuka, Jihoon Oh, Jun Yamada, Ingmar Posner, Yuke Zhu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	Vision-language-action models robotics foundation models imitation learning robot learning
On-line přístup:	https://ieeexplore.ieee.org/document/11164279/
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