全球首发AI+工业智能机器人操作系统！工博焦点JAKA EVO，重构工业具身智能新范式

Core Viewpoint - The JAKA EVO industrial embodiment intelligent platform, launched by JAKA Robotics at the 2025 Industrial Expo, aims to revolutionize traditional industrial robotics by integrating multi-modal perception and intelligent decision-making, enabling robots to autonomously understand and execute tasks without human intervention [1][2][3]. Technology Maturity and Market Demand - The launch of the JAKA EVO platform coincides with a period of technological maturity in AI, sensors, and robotics control, which has laid a solid foundation for its development. Key advancements include a significant increase in the inference speed of large models and a 40% reduction in the cost of high-precision visual sensors over the past five years [3][5]. - The demand for industrial intelligent transformation is growing, with a reported 28% year-on-year increase in investment in smart manufacturing in China for 2024. However, over 60% of enterprises face challenges in adapting smart devices to actual scenarios, leading to long debugging cycles and high operational costs [5][7]. Key Features of JAKA EVO - The JAKA EVO platform supports various forms of robots, including robotic arms and humanoid robots, enhancing adaptability across different industrial scenarios. It can autonomously manage tasks from order placement to execution without human intervention [7][16]. - The platform employs a three-layer technical architecture of "perception-fusion-understanding," allowing for comprehensive data coverage and real-time processing, achieving a cross-modal semantic recognition accuracy of over 95% [10][11]. Innovative Learning and Control Mechanisms - JAKA EVO features a hierarchical control architecture that enables precise execution of complex tasks, with a lightweight task learning mechanism that allows for rapid skill acquisition, significantly reducing training time from days to just two days for specific scenarios [11][13]. - The platform's lightweight imitation learning mechanism utilizes pre-training and transfer learning, allowing for quick adaptation to new environments and tasks, which is crucial for small-batch and diverse production needs [13][14]. User-Friendly Interface and Deployment Efficiency - The graphical human-machine interaction and toolchain integration of JAKA EVO simplify the operation, reducing the deployment time from 2-3 days to just 4-6 hours, thus enhancing accessibility for small and medium-sized manufacturing enterprises [14][16]. - The platform's edge computing capabilities ensure low latency in model inference, with response times kept below 40ms, which is essential for tasks requiring high real-time performance [14]. Future Applications and Industry Impact - JAKA EVO has already demonstrated significant results in the automotive and 3C industries, improving assembly precision and production efficiency while reducing labor costs and error rates. Its adaptability allows for potential applications in sectors like new energy and logistics [16][17]. - As the first all-in-one industrial embodiment intelligent platform, JAKA EVO is positioned to support the intelligent transformation of industries, contributing to high-quality development in China's manufacturing sector [17].