Core Insights - JD Logistics has unveiled two major technological advancements: Super Brain Model 2.0 and the Yiwang Embodied Intelligent Robotic Arm System, marking a new paradigm in the application of "Artificial Intelligence+" in the logistics industry [1][2] Group 1: Super Brain Model 2.0 - The Super Brain Model 2.0 achieves Agentic capabilities, enabling autonomous decision-making for intelligent devices [1] - It can reduce the model solving time for millions of variables to under 2 hours, dynamically optimizing logistics planning [1] - The model enhances operational efficiency by standardizing employee operations by 15% and improving frontline efficiency by nearly 20% through real-time data optimization [1] - Human-machine collaboration efficiency is increased by over 20% due to the model's ability to learn and adjust execution strategies [1] Group 2: Yiwang Embodied Intelligent Robotic Arm System - The Yiwang system addresses the automation challenges of handling a large volume of non-standard packages in logistics [2] - It utilizes an advanced visual perception system to analyze package characteristics and generate optimal grasping strategies [2] - The system operates with high precision, capable of complex movements and millimeter-level accuracy, creating a closed-loop system of perception, decision-making, execution, and evolution [2] Group 3: Additional Innovations and Impact - Other products from JD Logistics' "Wolf Pack" include the "Smart Wolf" system, which improves space efficiency by 4 times and reduces logistics costs by 50% in specific applications [3] - The "Lone Wolf" sixth-generation delivery vehicle operates with L4-level autonomous driving across nearly 30 cities [3] - JD Logistics has over 500 global warehouses deploying intelligent devices, indicating a generational leap in logistics intelligence [3] - Experts highlight that JD Logistics is leading the industry transition from mechanized operations to cognitive intelligence, significantly reducing logistics costs and driving high-quality development [3][4]
智能装备加速拓宽物流场景应用
Zhong Guo Jing Ji Wang·2025-10-09 14:50