独家｜刚刚！蚂蚁开源最大具身智能基座模型Lingbot-VLA，20000小时真机数据、性能吊打英伟达GR00T和π0.5

智能纪元AGI01-28

具身智能机器人领域迎来了“DeepSeek时刻”。1月27日消息，蚂蚁集团旗下具身智能公司蚂蚁灵波科技团队在Arxiv上公布具身智能基座模型LingBot-VLA——标题就是一个“务实的”VLA基础模型。据悉，LingBot-VLA模型使用了来自9种常用双臂机器人配置、约20000小时的真实世界数据，通过在智元Agibot等3个机器人平台上进行系统评估（每个平台完成100个任务，每个任务包含130...

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Ant's largest open source embodied smart base model Lingbot-VLA, with 20,000 hours of real machine data and performance surpassing Nvidia GR00T and π0.5","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"NVD3.UK":0.6,"2NVD.UK":0.6,"NVD":0.6,"NVDU":0.6,"06688":1.91,"NVIW.SI":0.6,"NVDX":0.6,"SNVD.UK":0.6,"NVDS":0.6,"NVDD":0.6,"NVDA":0.9,"NVDW":0.6,"NVD2.UK":0.6,"NVDY":0.6,"NVII":0.6,"NVDS.UK":0.6,"NVDQ":0.6,"NVDG":0.6,"3NVD.UK":0.6,"DIPS":0.6},"content_text":"具身智能机器人领域迎来了“DeepSeek时刻”。1月27日消息，蚂蚁集团旗下具身智能公司蚂蚁灵波科技团队在Arxiv上公布具身智能基座模型LingBot-VLA——标题就是一个“务实的”VLA基础模型。据悉，LingBot-VLA模型使用了来自9种常用双臂机器人配置、约20000小时的真实世界数据，通过在智元Agibot等3个机器人平台上进行系统评估（每个平台完成100个任务，每个任务包含130个训练后训练集），模型的性能优于自变量机器人WALL-OSS、英伟达GROOT N1.6、π0.5等竞争对手。据了解，LingBot-VLA目前已经在GitHub、Hugging Face平台上部分开源。此外，蚂蚁灵波团队还构建了一个高效的代码库，在8 GPU训练配置下，每个GPU的吞吐量可达每秒261个样本，相比现有的面向VLA的代码库，速度提升了1.5-2.8倍（具体取决于所依赖的VLM基础模型）。对此，蚂蚁灵波科技研发团队在论文中表示，LingBot-VLA基础模型，通过大规模真实世界数据和优化的代码库，实现了卓越的泛化能力和训练效率，在100项任务上的全面评估表明，该模型在与竞争对手的对比中具有明显优势，展现了其强大的性能和广泛的泛化能力。“为了推动开放科学，我们发布了我们的代码、模型和基准数据。未来的研究将聚焦于通过整合单臂和移动机器人数据来扩展模型的多功能性，为在非受限环境中实现更加多样化和灵活的操控能力铺平道路。”论文链接：https://arxiv.org/abs/2601.18692v1网站:https://technology.robbyant.com/lingbot-vlaGithub:https://github.com/robbyant/lingbot-vlaHF:https://huggingface.co/collections/robbyant/lingbot-vla（1月28日上午10点对外开放）成立于2024年的蚂蚁灵波科技，作为蚂蚁集团旗下的具身智能公司，专注具身智能基座的研发。就在1月27日，蚂蚁灵波团队对外发布视觉模型LingBot-Depth，攻克了具身智能在真实复杂环境中面临的视觉感知难题。该模型基于奥比中光 Gemini 330 系列双目 3D 相机提供的芯片级原始数据，专注于提升环境深度感知与三维空间理解能力，旨在为机器人、自动驾驶汽车等智能终端赋予更精准、更可靠的三维视觉，在“看清楚”三维世界这一行业关键难题上取得重要突破。这也是蚂蚁灵波科技在2025外滩大会后首次亮相后，时隔半年在具身智能技术基座方向公布重要成果。在NYUv2、ETH3D等权威基准评测中，LingBot-Depth展现出代际级优势：相比业界主流的 PromptDA与PriorDA，其在室内场景的相对误差（REL）降低超过70%，在挑战性的稀疏SfM 任务中RMSE误差降低约47%，确立了新的行业精度标杆。蚂蚁灵波科技CEO朱兴表示，LingBot-Depth验证了“高质量芯片级深度数据+面向真实场景的算法建模”对提升复杂环境可用性的价值。在不改变既有传感器形态的前提下，通过软硬协同与工程化评测闭环，有望让更多机器人在透明/反光等高难场景中获得更稳定的深度输入。2025年以来，蚂蚁集团加速人工智能布局，已发布AI医疗管家阿福、通用AI助手灵光，布局具身智能灵波科技，蚂蚁百灵大模型也跻身了万亿参数模型阵营。目前，具身智能赛道已经形成了产业链，上游是核心零部件与材料，中游是系统与本体制造，下游是应用与需求场景。针对上中下游，蚂蚁进行了饱和式的投资。上游，蚂蚁投资了聚焦机器人感知和定位技术的“星海图”，和以机器人灵巧手见长的“灵心巧手”，意在通过资本突破具身智能产业链的“卡脖子”技术。中游，投资了大量机器人本体公司，宇树、智元、逐际动力、星动纪元、星尘智能、钛虎等头部公司。蚂蚁集团方面透露，本周蚂蚁灵波还将陆续开源多款具身智能方向模型——其中有一款名为LingBot-World——蚂蚁发布的首个世界模型。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"2","news_tag":"productRelease","news_rank":0,"isVideo":false,"video":null,"symbols":[],"gpt_button":0,"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,"tenantId":"TBCN","deviceId":"web-server-community-laohu8-v3","version":"4.42.0","shortVersion":"4.42.0","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/2606295736","isCrawlerRequest":true}