智能涌现 . 直击AI新时代下涌现的产业革命。36氪旗下账号。 具身智能创业，要做苹果，而不是安卓。 文 ｜ 邱晓芬 编辑 ｜ 苏建勋 来源｜ 智能涌现（ID：AIEmergence） 封面来源 ｜ 视觉中国 不管是刚刚结束的WAIC（世界人工智能大会），还是本周要开幕的WRC（世界机器人大会），如何在展会上识别一个机器人的真正实力？ 具身智能公司"千寻智能"的联合创始人高阳，提供了这样几个tips： 以下文章来源于智能涌现 ，作者邱晓芬 对于号称能叠衣服的机器人，你可以尝试把衣服团成一团，随意丢在桌上，观察它是否能继续完成动作；或者是再给它裤子、外套，看它能否具备跨品类 的泛化能力； 在机器人操作时，可以观察其动作是否足够丝滑流畅，而不是一卡一卡，这代表了思维和动作的协调性…… 给我们提出指引的高阳，是当前具身智能领域炙手可热的创业者之一——从美国加州大学伯克利分校博士毕业后，他选择回国成为清华大学交叉信息研究 院助理教授。 2023年，他又与前珞石机器人CTO韩峰涛一起，创办了具身智能公司千寻智能——韩峰涛硬件经验丰富，过往操盘过数万台机器人量产出货，高阳则有 AI的研究基础，学术和产业界的搭配，使得千寻 ...

Core Viewpoint - The article discusses the emergence of embodied intelligence in robotics, emphasizing the importance of creating integrated hardware and software solutions, akin to Apple's approach, rather than a fragmented one like Android's [5][6]. Group 1: Company Overview - Qianxun Intelligent, co-founded by Gao Yang and Han Fengtao, has raised over 1 billion RMB in funding within 19 months, with investors including Huawei Hubble, JD.com, and CATL [4]. - Gao Yang, a former assistant professor at Tsinghua University, transitioned from academia to entrepreneurship, highlighting the challenges and learning experiences in this shift [5][12]. Group 2: Market Insights - The robotics market is currently competitive, with established companies focusing on hardware while neglecting the software aspect, which Gao Yang believes is crucial for long-term success [9]. - The potential for embodied intelligence is seen as inevitable, driven by advancements in AI technologies like ChatGPT, which have shifted perceptions about the capabilities of AI [8]. Group 3: Technical Perspectives - The integration of hardware and software is deemed essential in the early stages of robotics development, as seen in historical examples like IBM's approach to personal computers [6][7]. - Gao Yang emphasizes the importance of algorithms and data in evaluating the performance of robotic systems, noting that models must be capable of handling complex tasks rather than just simple ones [28][29]. Group 4: Future Outlook - The anticipated development of robots capable of performing complex tasks, referred to as Robot GPT-3.5, is expected to significantly enhance their functionality in everyday scenarios [32]. - The article suggests that the current focus on large-scale data collection in robotics may not be as valuable due to the rapid evolution of robot forms, indicating a need for more effective pre-training methods [41][42].