阿姆斯特丹，10月21日：德国公司Agile Robots计划在明年与Nvidia合作生产多达2000台小型人形机器人。该公司首席执行官陈兆鹏（Zhaopeng Chen）在采访中表示，这一合作主要面向大学和企业研究实验室。
AMSTERDAM, Oct 21 : Germany's Agile Robots plans to produce up to 2,000 petite humanoid robots next year under a partnership with Nvidia announced on Wednesday targeting universities and corporate research labs, CEO Zhaopeng Chen said in an interview.
陈兆鹏表示，Agile ONE S和ONE SN型号的量产将于今年年底前开始，公司预计产量将在1000至2000台之间，斯坦福大学和苏黎世联邦理工学院（ETH Zurich）是潜在的客户之一。
Production of Agile ONE S and ONE SN models will begin by the end of this year, Chen said, adding that the company expects to produce 1,000-2,000, with Stanford University and ETH Zurich among potential customers.
ONE SN型号配备了由双方共同指定的配置：灵巧的手部、摄像头以及Nvidia的Jetson Thor嵌入式计算机。
The SN model — N for Nvidia — has a jointly specified configuration, including dexterous hands, cameras and Nvidia's Jetson Thor onboard computer.
这些机器人身高1.4米，重量约为34公斤，属于Agile公司全尺寸人形机器人的缩小版，因此更便于研究人员操作，使用起来也更安全。
At 1.4 meters tall and weighing about 34 kilograms, the robots are smaller versions of Agile's full-sized humanoid models, making them easier and safer for researchers to handle.
总部位于慕尼黑的Agile Robots是欧洲人形机器人领域的早期领军企业之一，与德国的NEURA和RobCo以及英国的Humanoid同属这一领域。
Munich-based Agile, a maker of industrial robots, is one of Europe's early contenders in humanoid robotics, along with NEURA and RobCo of Germany and Humanoid of Britain.
Nvidia在为人形机器人提供处理器和软件方面处于领先地位，这些组件相当于人形机器人的“大脑”和“神经系统”；该公司正在该领域积极建立合作伙伴关系。
Nvidia has established an early lead in supplying both the processors and software that serve as humanoid robots' brains and nervous systems, building partnerships across the emerging industry.
此次合作将Nvidia的计算技术和“GR00T”人工智能模型与Agile Robots的硬件相结合，为研究人员提供了一个即用型系统，用于数据收集和技能测试——这些技能未来将应用于工厂和仓库中。
The partnership combines Nvidia computing and "GR00T" AI model with Agile's hardware to give researchers a ready-to-use system for gathering data and testing skills intended for later use in factories and warehouses.
Nvidia的机器人产品总监Spencer Huang表示：“如果能为研究人员提供预先配置好的机器人，就能节省他们花费两到三个月的时间来调试各个独立购买的组件。”
Spencer Huang, product director for robotics at Nvidia, said having bots with the standardized pre-configuration could save researchers two or three months spent getting separately purchased components working together.
“如果我们能为研究人员提供已经完成80%开发工作的机器人，就能加速他们的研究进程。”他说。
“If we can bring researchers something that's already 80 per cent of the way there, it accelerates their development,” he said.