以多形态机器人领跑“具身工业”场景落地，越疆为何持续进化？

Core Viewpoint - The article emphasizes the evolution of robotics towards "embodied intelligence," highlighting the transition from single-function robots to multi-functional, high-precision collaborative robots that can adapt to various scenarios and collaborate across devices [1][3][5]. Group 1: Product Development and Innovation - At the 2025 China International Industry Fair, the company showcased a diverse range of robots, including humanoid robots and multi-legged robots, demonstrating a comprehensive product matrix that supports efficient collaboration and autonomous operations [3][5]. - The "embodied intelligence" concept is central to the company's strategy, leading to the development of a multi-modal robot platform that integrates various robotic forms for enhanced operational capabilities [5][7]. - The robots operate under a "distributed perception - centralized decision - dynamic execution" model, allowing for real-time task planning and execution across different robotic types [7][9]. Group 2: Technological Advancements - The company has achieved a global first in autonomous collaborative operations among multi-form robots, covering essential factory processes such as material sorting and precision assembly [9][11]. - The underlying technology architecture across all products is consistent, enabling significant technology reuse and capability extension, particularly in force control, motion planning, and visual perception [13][15]. - The integration of 2.5D/3D vision with tactile sensing has enhanced the robots' precision and adaptability, allowing them to perform complex tasks in various environments [17][19]. Group 3: Market Position and Future Outlook - The company has established itself as a leader in the collaborative robot sector, with over 90,000 units deployed globally, serving more than 80 Fortune 500 companies [30]. - With the continuous evolution of embodied intelligence technology, the company is positioned to become a significant player in the global robotics field, driving the transition from "Made in China" to "Intelligent Manufacturing in China" [30][28].