Shypd.aiThe largest open index of AI toolsRynnVLA-002 is an AI Frameworks & Infra tool that unifies vision, language, action, and world models. It provides a comprehensive framework for developing AI agents capable of understanding and interacting with their environment.
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RynnVLA-002 is an autoregressive action world model developed by Alibaba-Damo Academy, designed to unify action and image understanding and generation within a single framework. It integrates Vision-Language-Action (VLA) models and world models, building upon its predecessor, WorldVLA. Key enhancements in RynnVLA-002 include a continuous Action Transformer, wrist camera input and generation capabilities, and state input. The model has demonstrated high performance, achieving a 97.4% success rate on the LIBERO benchmark. It offers both VLA model capabilities for generating actions from text instructions and image observations, and World Model capabilities for predicting future frames based on current frames and actions. The project provides models, training code, and evaluation code for both LIBERO simulation and real-world LeRobot experiments.
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