腾讯，重大发布！

Core Viewpoint - Tencent's Robotics X laboratory has launched the Tairos modular embodied intelligence open platform, aiming to enhance the robotics industry through collaboration with leading companies and the integration of large model technologies [2][5][7]. Group 1: Platform Overview - Tairos is the first modular open platform in China that provides large models, development tools, and data services for the robotics industry, allowing for plug-and-play capabilities [5][11]. - The platform aims to equip robots with advanced cognitive abilities, enabling them to perceive the world, plan tasks, and make autonomous decisions, transforming them from passive machines into proactive intelligent entities [5][6]. Group 2: Collaborations and Partnerships - The launch event included the announcement of initial partners such as Yuejiang Technology, Leju Robotics, and others, indicating a broad industry collaboration [9]. - Tairos will be open for cooperation with all robotics hardware companies and will allow developers to integrate algorithms from various fields, fostering innovation [9]. Group 3: Technical Components - Tairos consists of two main components: model algorithms and cloud services, which include simulation platforms, data platforms, and development tools [11][12]. - The platform features a multi-modal perception model, a planning model, and a perception-action joint model, enhancing robots' understanding of their environment and decision-making capabilities [12][13]. Group 4: Practical Applications - Prior to its launch, Tairos underwent extensive testing across various industries, including automotive and home appliances, demonstrating its practical applications [10]. - The platform supports a cloud-based simulation environment that allows for quick model validation and addresses traditional simulation tool challenges [13][14]. Group 5: Future Developments - In the future, Tairos will leverage cloud computing resources to provide developers with a comprehensive suite of tools for data collection, algorithm training, and model deployment, accelerating the commercialization of embodied intelligence [14].