宇树蹲守赛场“抢人”！腾讯开悟七年办赛，为何把这场重磅决赛放在成都？

每日经济新闻08-14 23:22

8月13日，“2026腾讯开悟人工智能全球公开赛暨第十七届中国大学生服务外包创新创业大赛人工智能专项赛（D类）全国决赛”在成都举行。赛事吸引来自666所高校的4433支队伍、13428名学生参赛。　　经过数月的比拼，来自全国高校的21支参赛队伍汇聚蓉城，围绕四足机器人与无人机两大实物赛道展开最终对决。　　机器狗依靠自身视觉感知，穿越斜坡、台阶、砂石等复杂地形；无人机全自主起飞、避障和悬停……赛场上...

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Tencent enlightened for seven years to run the competition. Why put this blockbuster final in Chengdu?","themeId":null,"isJumpTheme":false,"ttsUrl":"https://static.tigerbbs.com/a9075457450dc900220a587483d36f17","symbols_score_info":{"TCEHY":1.92,"XSOE":0.6,"AAXJ":0.6,"TCHmain":0.6,"GAMR":0.6,"FDNI":0.6,"LDEM":0.6,"TCHI":0.6,"EEMX":0.6,"00700":1.92,"HTCD.SI":0.6,"ODDS":0.6,"CXSE":0.6,"FFEM":0.6,"EMCS":0.6,"KWEB":0.6,"EMC":0.6,"ESPO":0.6,"SOCL":0.6,"BIDD":0.6,"JADE":0.6,"JEMA":0.6,"BKF":0.6},"content_text":"8月13日，“2026腾讯开悟人工智能全球公开赛暨第十七届中国大学生服务外包创新创业大赛人工智能专项赛（D类）全国决赛”在成都举行。赛事吸引来自666所高校的4433支队伍、13428名学生参赛。　　经过数月的比拼，来自全国高校的21支参赛队伍汇聚蓉城，围绕四足机器人与无人机两大实物赛道展开最终对决。　　机器狗依靠自身视觉感知，穿越斜坡、台阶、砂石等复杂地形；无人机全自主起飞、避障和悬停……赛场上，选手们面对的是全球具身智能领域公认的核心难题——从仿真到现实（Sim-to-Real）的迁移。　　宇树科技产教融合负责人吴秉昊表示，即使机器狗出现摔倒、偏移，这些真实的“失败数据”，比仿真环境中的完美结果更有价值。这些探索会帮助行业更清楚地知道Sim-to-Real的边界在哪里，下一步该往哪个方向突破。 　　15米赛道上的“生死局”：当机器狗失去遥控器，视觉成为唯一“眼睛” 　　机器狗依靠自身视觉感知穿越斜坡、台阶、砂石等复杂地形，无人机全自主起飞、避障和悬停，在决赛现场，两条看似不同的赛道，都在考验同一个问题：在仿真环境中训练成熟的模型，到了真实世界还能不能稳定工作？　　其中，四足机器人强化学习挑战赛由腾讯开悟、宇树科技联合发起。据腾讯开悟方面介绍，这是全球首个将视觉感知、复杂地形运动控制、UWB定位与真机部署全部纳入竞赛的赛题。　　全国总决赛现场设置了一条全长15米、宽4.8米的单向直线赛道，赛道由斜坡、托盘台阶、砂石地与小型坡四个公开单元以及比赛当天才揭晓的“隐藏挑战单元”组成。 　　图片来源：每经记者宋欣悦摄　　腾讯开悟平台产品负责人蒙朦告诉《每日经济新闻》记者，这一赛道的最大挑战在于，选手的模型必须从仿真环境直接迁移到宇树Go2真机上完成全部任务，不使用遥控器，摄像头画面直接输入模型，同时完成视觉理解与12个关节的实时运动控制，所有计算均由机器狗自带算力完成，不依赖云端算力与外部网络。　　在蒙朦看来，赛事设置较高技术门槛，是希望让年轻选手提前接触产业真正面临的问题。“具身智能真正进入产业场景，需要机器人具备自主提供价值的能力。例如在巡检、危险场景勘探等应用中，机器人需要依靠自身视觉和环境感知完成任务，而不能始终依赖人工陪同和远程控制。”她表示。　　来自深圳大学的“你说得队”率先登场，机器狗行进有序且迅捷，在第一轮拿下97.3分的高分，赢得现场一片掌声。　　赛后，选手代表林梓锋向记者表示，从仿真到真机需要跨越的技术难度非常大。“仿真时模型比较理想化，没有考虑太多机械结构、地面噪声、外界环境干扰等问题。但部署到实机时，这些因素都要考虑进去。”　　“为了提高模型鲁棒性（系统在内部结构或外部环境改变时也能够维持其功能稳定运行的能力），我们在训练环境中主动加入了不同干扰和噪声，让模型提前适应真实世界中可能出现的变化。”林梓锋说。　　在另一侧的无人机赛场，选手们也面临着从仿真到现实迁移的考验。本届赛事新增的低空智能赛道紧扣“低空经济”方向，由腾讯开悟联合清华大学、成都雷电鸟科技共同推出。赛事要求无人机以全自主方式起飞，自己规划路线、穿越障碍、最终悬停。　　“烷镁冰雪镇队”成员岳旸迪向记者表示：“赛场设置了几根柱子，导致无人机在实飞过程中的定位变得极其困难。这是我们在虚拟仿真时没有考虑过，也没有遇到过的问题。”　　对此，宇树科技产教融合负责人吴秉昊称，真实世界中的物理摩擦力变化、传感器噪声、硬件延迟和地形不确定性，都很难在仿真环境中被完整复刻，仿真到真机的迁移也是当前全球具身智能领域重点攻关的难题。　　“选手现在做的每一步探索，都是在给整个行业探路。”吴秉昊表示，“哪怕设备只是在赛道里往前走了几米，哪怕过程中出现了摔倒、偏移，这些真实的‘失败数据’都比仿真中的完美结果更有价值。这些探索会帮助行业更清楚地知道Sim-to-Real的边界在哪里，下一步该往哪个方向突破。”　　赛事成抢人现场，成都打通“学赛研产”人才链路 　　记者注意到，除参赛学生和指导教师外，宇树科技的技术专家、工程师以及相关负责人也来到现场，密切关注各支队伍的模型表现和技术方案。赛后，宇树科技还向部分表现优秀的选手递出了“橄榄枝”。　　蒙朦告诉记者，这样的场景并不罕见。腾讯开悟四足机器人线下赛事由腾讯与宇树科技共同参与，企业能够借此直接观察选手解决真实问题的过程。“去年，宇树的HR就已经在现场直接进行招聘了。”蒙朦表示，企业观察选手时，也会综合考察现场表现、技术报告以及解决问题的思路。　　企业将目光投向赛场，也折射出具身智能产业对实践型人才的旺盛需求。 　　图片来源：每经记者宋欣悦摄　　数据显示，当前具身智能人才缺口约100万。2026年1月至4月，具身智能领域招聘指数较去年同期增长15倍，人形机器人赛道招聘平均年薪达40.61万元。但供给端明显滞后，2026年全国开设具身智能本科专业的高校寥寥无几。　　腾讯成都公司总经理林夏表示，当前人工智能正经历从工具向伙伴的转变，这对人才培养提出了更高要求。未来的AI人才需要懂算法、懂硬件、懂工程，才能让模型在不确定的真实世界中稳定运行。“腾讯开悟连续七年办赛，希望把产业真实需求转化为竞赛任务，让青年学生完成从理论到实践的完整锻炼。”　　中国大学生服务外包创新创业大赛组委会主任、江南大学研究生院院长吴小俊表示：“最好的创新教育，是把产业里真实的问题，交到年轻人手上。”在他看来，赛事从理论到实物、从仿真到现实的完整历练，是课堂教学难以替代的过程，能让更多青年学子在解决真实问题的过程中成长成才。　　从课堂学习，到平台训练，再到赛事验证、科研探索和产业实践，一条“学、赛、研、产”相互衔接的链路也逐渐清晰，而这套链条也带有鲜明的成都印记。　　记者了解到，腾讯开悟平台本身就是从成都孵化出来的，而成都的产业底色，正在为这类“真机实战”提供天然土壤。　　蒙朦告诉记者，成都既拥有较为丰富的高校资源，人才储备足够，也具备森林、农业等多样化应用场景。“我们希望在高校与产业之间发挥连接作用，将人才培养与真实场景进一步结合，培养更多与产业发展同频的技能人才。”（文章来源：每日经济新闻）","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":false,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"isVideo":false,"video":null,"symbols":[],"gpt_button":1,"need_auth":false,"need_login_tip":false,"code":"91000000","status":"200"},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)","isDev":false,"isTTM":false,"isLaohu8Offline":false,"tenantId":"TBCN","deviceId":"web-server-community-laohu8-v3","version":"4.44.1","shortVersion":"4.44.1","platform":"web","vendor":"web","appName":"laohu8","isIOS":false,"isAndroid":false,"isTiger":false,"isTHS":false,"isWeiXin":false,"isWeiXinMini":false,"isWeiBo":false,"isQQ":false,"isBaiduSwan":false,"isBaiduBox":false,"isDingTalk":false,"isToutiao":false,"isOnePlus":false,"isHuaWei":false,"isXiaomi":false,"isXiaomiWebView":false,"isOppo":false,"isVivo":false,"isSamsung":false,"isMobile":false},"href":"/m/news/2659843128","isCrawlerRequest":true}