Jensen Huang, founder and CEO of NVIDIA, recently stated that the robotics field is experiencing its own ‘ChatGPT moment.’ He explained that just as ChatG捂 triggered a surge in large AI models at the end of 2022, robotics technology is now reaching a critical inflection point. The key driver of this shift lies in the convergence of foundation models and embodied AI—robots are evolving beyond pre-programmed machines into intelligent agents capable of understanding their environments, making autonomous decisions, and continuously learning through large-scale training.Huang emphasized that NVIDIA is building a comprehensive robotics development ecosystem, including the Isaac simulation platform for training, AI-powered perception and control algorithms, and Jetson chips specifically designed for robotics. These tools significantly lower development barriers, enabling more companies and research institutions to rapidly build and deploy intelligent robots. He also predicted that in the coming years, general-purpose intelligent robots will emerge across various sectors—from manufacturing and logistics to home services—profoundly transforming how humans work and live.This perspective not only highlights NVIDIA’s strategic positioning at the intersection of AI and robotics but also signals the accelerating arrival of a new era of robotics powered by general artificial intelligence.
英伟达（NVIDIA）创始人兼首席执行官黄仁勋近日表示，机器人领域正迎来属于自己的‘ChatGPT时刻’。他指出，就像2022年底ChatGPT引爆人工智能大模型热潮一样，当前机器人技术也正处于突破性发展的临界点。这一转折的核心在于基础模型（foundation models）与具身智能（embodied AI）的融合——机器人不再只是执行预设指令的机械装置，而是能够通过大规模训练理解环境、自主决策并持续学习的智能体。黄仁勋强调，英伟达正在构建完整的机器人开发生态系统，包括用于仿真训练的Isaac平台、AI驱动的感知与控制算法，以及专为机器人设计的Jetson芯片。这些工具将大幅降低开发门槛，使更多企业和研究机构能快速构建和部署智能机器人。他还预测，未来几年内，从制造业、物流到家庭服务，各类场景都将涌现出具备通用能力的智能机器人，深刻改变人类的工作与生活方式。这一判断不仅彰显了英伟达在AI与机器人交叉领域的战略布局，也预示着一个由通用人工智能驱动的机器人新时代正在加速到来。
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