Core Viewpoint - Alibaba's Damo Academy announced the open-source release of several models and protocols aimed at enhancing the compatibility and integration of data, models, and robots in the field of embodied intelligence, addressing significant challenges in the development process [2][8]. Group 1: Open-source Models and Protocols - The open-source models include RynnVLA-001-7B, a visual-language-action model, RynnEC, a world understanding model, and RynnRCP, a robotic context protocol [2][8]. - RynnRCP aims to facilitate the connection between robot bodies and sensors, providing standardized capability interfaces and ensuring compatibility between different transport layers and model services [6][8]. - RynnVLA-001 is designed to learn human operational skills from first-person perspective videos, enabling smoother and more coherent control of robotic arms [8]. Group 2: RynnRCP Framework and RobotMotion - RynnRCP consists of two main modules: the RCP framework and RobotMotion [5]. - RobotMotion serves as a bridge between large embodied models and robot body control, converting discrete low-frequency inference commands into continuous high-frequency control signals for smooth robotic movement [7]. - The framework supports various popular models and robotic arms, including Pi0, GR00T N1.5, SO-100, and SO-101, and is continuously expanding its capabilities [2][8]. Group 3: Industry Development and Collaboration - Damo Academy is actively investing in embodied intelligence, focusing on system and model development, and collaborating with various parties to build industry infrastructure, including hardware compatibility and data collection [8]. - The recent open-source release of the WorldVLA model, which integrates world models with action models, has garnered significant attention in the industry for its enhanced understanding and generation capabilities [9].