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Chongqing's auto exports surge 57.1% in first seven months_我的网站

一 |     　　18日，记者从成都人形机器人创新中心获悉，该中心发布了全球首个复杂语言指令集全自主（无遥控）超长视野机器人任务执行系统，解决了机器人在陌生环境无法自主完成决策规划的难题，让机器人摆脱实验室的“预设摆拍”，走进复杂多变的真实场景中。    (ECNS) -- Chongqing, a major automobile manufacturing hub in southwest China, exported vehicles worth 35.33 billion yuan (about $5.23 billion) in the first seven months of 2026, up 57.1% year on year, according to customs data released Thursday.    Changan Automobile, Seres and Great Wall Motor are among the major automakers headquartered in or operating production bases in the city.        Changan Automobile also reported strong growth in overseas deliveries, with 82,300 vehicles delivered overseas in August, up 79.1% year on year. Seres, meanwhile, launched its first dedicated cross-border freight train via the China-Laos Railway under the New International Land-Sea Trade Corridor in 2026, marking the first time Chongqing has used the route for a customized train carrying complete vehicles for export.    "The globalization of China's automobile industry is in full swing," said Wang Hui, executive vice president of Changan Automobile. He noted that overseas market research has shown strong acceptance and recognition of Chinese auto brands.    "We have seen strong demand for Chongqing-made vehicles in the Central Asian market this year, with more companies entering the automobile export business," said Liu Lei, a Chongqing-based auto export dealer.    Chongqing has launched the "Yuche Chuhai" (Chongqing Automobiles Going Global) action plan to build a nationally leading export base for intelligent and new energy vehicles (NEVs). The plan aims to increase the city's annual NEV exports to more than 120 billion yuan by 2027.    (By Tang Yuxian)                        。相关技术已取得发明专利授权。　　机器人在真实世界中会遇到观测不完备、环境动力学未知、任务语义歧义、接触状态突变以及执行器误差累积等问题，因此，衡量一个机器人是否“聪明”，不能只看站立、行走或抓取等本体运动指标，更应该进一步考察机器人在长时序任务中状态估计、层级目标推理、策略选择、约束满足和闭环恢复的能力。　　成都人形机器人创新中心首发的这套任务执行系统，将世界模型、VLA（视觉—语言—动作）模型等一系列当下流行的技术方案纳入一套统一的框架之中。在演示视频中，搭载该系统的“成都造”超轻量级人形机器人“贡嘎一号”在接收单一复杂指令后，全程自主、稳定执行，依次完成三项子任务。整个过程无遥控、无摆拍，真实展现机器人的全自主作业能力。　　据介绍，该执行系统的核心价值不在于堆叠了多少模型，而在于建立了从任务理解到技能选择再到动作执行的完整闭环——解决了真实世界中，机器人没有经过相关场景的数据适配就无法自主完成任务决策规划的难题，让机器人真正具备了在陌生环境中自主完成长时序任务的能力。（记者刘侠）。

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