Advancing Robotics with Vision Language Action (VLA) Models
Advancing Robotics with Vision Language Action (VLA) Models
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Vision Language models: towards multi-modal deep learning | AI Summer
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Vision Language Models (VLMs) understand natural language prompts and perform visual question answering. Learn how you can build VLM-powered visual #AI agents for a wide range of apps. ➡️ https://nvda.ws/4dg1zDe #SIGGRAPH2024 | NVIDIA Asia Pacific
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FacebookNVIDIA Asia Pacific
High-capacity vision-language models (VLMs) are trained on large web datasets, enabling them to effectively recognize visual and language patterns and function across multiple languages. However, for robots to reach a similar level of proficiency, they would need to gather firsthand data across various objects, environments, tasks, and situations. In this context, researchers have introduced Robotic Transformer 2 (RT-2), a vision-language-action (VLA) model that learns from both web and robotics
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