CATL(SZ:300750) 具身智能之心·2025-12-18 04:00Core Viewpoint - The successful deployment of the humanoid robot "Xiao Mo" in the production line of CATL marks a significant milestone in the application of embodied intelligence in smart manufacturing, particularly in the production of new energy power battery PACKs [2][5]. Group 1: Technological Advancements - "Xiao Mo" can accurately perform complex tasks such as connecting battery connectors, which were previously reliant on manual labor due to their multi-variety, small-batch, and high-flexibility characteristics [2]. - The robot utilizes an advanced end-to-end vision-language-action (VLA) model, enabling it to adapt to uncertainties like material position deviations and connection point changes in real-time [2]. - The insertion success rate of "Xiao Mo" is maintained at over 99%, with operational efficiency matching that of skilled human workers [2]. Group 2: Operational Efficiency - "Xiao Mo" autonomously detects the status of wire connections and reports anomalies, effectively reducing the defect rate of products [4]. - The robot has achieved a threefold increase in daily workload while maintaining excellent consistency and stability during continuous production tasks of multiple battery models [4]. Group 3: Collaborative Development - "Xiao Mo" was developed by Qianxun Intelligent Robot Company, a subsidiary of CATL, and is equipped with CATL's self-developed batteries, showcasing the results of industry chain collaboration [5]. - CATL collaborated with multiple departments to conduct in-depth research on production line needs, creating a forward-looking and feasible development plan for the large-scale deployment of embodied intelligent robots [5]. Group 4: Future Prospects - The successful implementation of "Xiao Mo" is seen as a starting point for CATL to enhance the automation and intelligence levels of the PACK line, further deepening the synergy between smart manufacturing and green power [5]. - CATL aims to promote the application of embodied intelligent large models in broader scenarios, contributing to the achievement of global carbon neutrality goals [5].