A Comprehensive Overview of Vision-Language-Action Models

**A Comprehensive Overview of Vision-Language-Action Models**

Introduction In the field of robotics, there is greater emphasis on developing general-purpose robotics. Gains in computer vision and natural language processing have allowed for the development of Vision Language Action (VLA) models, which seek to provide robots with a “general intelligence” capable of interpreting the physical world through a unified multimodal lens. Early milestones like Google DeepMind’s RT-1 and RT-2 demonstrated that transformers could map visual and linguistic inputs directly to robotic actions at scale, beginning the VLA model paradigm. Concurrently, datasets such as DROID and platforms like Aloha have expanded the diversity of manipulation tasks and improved hardware accessibility for the broader research community. This article provides an overview of recent progress in VLA models for robotics...

---

**[devsupporter 해설]**

이 기사는 DigitalOcean에서 제공하는 최신 개발 동향입니다. 관련 도구나 기술에 대해 더 알아보시려면 원본 링크를 참고하세요.