WAIC上的“最强大脑”对话：机器人如何走向真实世界？

Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) showcased advancements in robotics, highlighting a future of human-robot coexistence with various applications from labor to companionship [2][12] - A significant forum titled "New Opportunities for Embodied Intelligence from a Global Perspective" featured leading experts from academia and industry discussing the intersection of research and practical applications in embodied intelligence [4] Group 1: Technological Developments - Yao Maoqing from Zhiyuan Robotics introduced a comprehensive framework for embodied intelligence, integrating robot body, motion intelligence, interaction intelligence, and operational intelligence into a closed-loop system [5][7] - Zhiyuan Robotics launched the "Genie Envisioner" platform, an open-source world model for dual-arm robots, which provides an end-to-end solution for robots to transition from perception to action [7][10] - The company also unveiled the first universal embodied base model, "Qiyuan," capable of adapting to various heterogeneous robot bodies [9] Group 2: Practical Applications - Zhiyuan Robotics has successfully implemented its technology in four key areas: industrial manufacturing, warehousing logistics, power inspection, and interactive guidance, demonstrating significant advancements in operational efficiency [10] - Robots equipped with the GE-Act platform have completed tasks such as making sandwiches and using microwaves with success rates exceeding industry averages, showcasing unprecedented precision and robustness [10] Group 3: Academic Contributions - Leading academics discussed breakthroughs in embodied intelligence, with Google scientist Stefan Schaal addressing challenges in high-performance AI-driven robotic operations [11] - Tsinghua University researcher Su Hang elaborated on how base models can facilitate the transition of robots from virtual training to real-world applications [11] - The roundtable discussion featured insights from various experts on the opportunities and challenges in the transition from automation to intelligence in the industry [11]