具身智能公司无界动力完成首轮3亿元融资，创始人为前地平线副总裁

\u003cdiv class=\"rich_media_content\"\u003e\u003c!--NO_AD_ERROR_2--\u003e\u003cp style=\"line-height: 1.75; margin-bottom: 24px; text-align: justify\"\u003e\u003cspan style=\"letter-spacing: 1px\"\u003e\u003cstrong\u003e文｜乔巴\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\u003cp style=\"line-height: 1.75; margin-bottom: 24px; text-align: justify\"\u003e\u003cspan style=\"letter-spacing: 1px\"\u003e\u003cstrong\u003e编辑｜沈月\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\u003cp style=\"line-height: 1.75; margin-bottom: 24px; text-align: justify\"\u003e\u003cspan style=\"letter-spacing: 1px\"\u003e11月10日，\u003c!--VERTICAL_CARD_BEGIN_0--\u003e具身智能\u003c!--VERTICAL_CARD_END_0--\u003e机器人公司无界动力宣布完成首轮3亿元人民币天使融资，由红杉中国、线性资本领投，高瓴创投、地平线、华业天成、钟鼎资本、BV百度风投、同歌创投等跟投。公司同时表示，“天使+”轮融资接近完成，累计融资额超过5亿元。\u003c/span\u003e\u003c!--NO_AD_0--\u003e\u003c!--EOP_0--\u003e\u003c/p\u003e\u003c!--PARAGRAPH_0--\u003e\u003cp style=\"line-height: 1.75; margin-bottom: 24px; text-align: justify\"\u003e\u003cspan style=\"letter-spacing: 1px\"\u003e无界动力成立于2025年，总部位于北京，定位为通用具身智能机器人研发与应用公司，重点聚焦“手—眼—脑”协同的操作智能，目标是在多类真实场景实现可规模部署。\u003c/span\u003e\u003c!--NO_AD_1--\u003e\u003c!--EOP_1--\u003e\u003c/p\u003e\u003c!--PARAGRAPH_1--\u003e\u003cp style=\"line-height: 1.75; margin-bottom: 24px; text-align: justify\"\u003e\u003cspan style=\"letter-spacing: 1px\"\u003e核心管理团队方面，创始人兼CEO张玉峰曾在Sony、ARM从事研发与管理，2017年加入地平线，历任副总裁、智能汽车事业部总裁、公司董事等职务。联合创始人兼CTO许闻达为\u003c!--SECURE_LINK_BEGIN_0--\u003e卡内基梅隆大学\u003c!--SECURE_LINK_END_0--\u003e机器人学博士，曾在美国联合创办自动驾驶算法公司Ottomatika，后任卡尔动力自动驾驶副总裁及首席算法架构师。\u003c/span\u003e\u003c/p\u003e\u003cdiv data-exeditor-arbitrary-box=\"wrap\"\u003e\u003cp\u003e\u003c!--IMG_0--\u003e\u003c/p\u003e\u003cp class=\"qqnews_image_desc\" style=\"color: #666; font-size: 14px; text-align: center\"\u003e\u003c!--NO_READ_BEGIN--\u003e图：无界动力创始人兼CEO 张玉峰\u003c!--NO_READ_END--\u003e\u003c/p\u003e\u003c/div\u003e\u003cp style=\"line-height: 1.75; margin-bottom: 24px; text-align: justify\"\u003e\u003cspan style=\"letter-spacing: 1px\"\u003e根据官方介绍，无界动力提出“通用基础模型研发—通用专家模型落地”的双线推进：应用侧以专家模型达成商用级任务成功率；基础模型以“影子模式”并行运行，不干扰现网的前提下采集误差样本并验证能力边界，用真实世界数据驱动迭代。模型目标包括对3D多模态信息与时空变化的感知、对物理规律的建模，以及在复杂动态环境中的实时推理与决策。\u003c/span\u003e\u003c!--NO_AD_2--\u003e\u003c!--EOP_2--\u003e\u003c/p\u003e\u003c!--PARAGRAPH_2--\u003e\u003cp style=\"line-height: 1.75; margin-bottom: 24px; text-align: justify\"\u003e\u003cspan style=\"letter-spacing: 1px\"\u003e在仿真与互联网视频之外，无界动力强调“真机、真人、真环境”的采集：在工厂产线、商业空间等场景通过真机运行获得物理交互数据，并结合真人示范，以提升任务成功率与泛化能力。\u003c/span\u003e\u003c!--NO_AD_3--\u003e\u003c!--EOP_3--\u003e\u003c/p\u003e\u003c!--PARAGRAPH_3--\u003e\u003cp style=\"line-height: 1.75; margin-bottom: 24px; text-align: justify\"\u003e\u003cspan style=\"letter-spacing: 1px\"\u003e在产品与落地进展方面，无界动力称已基于统一的通用操作大脑与标准化人形机器人本体，推动能力在工业制造、商业服务两类场景间迁移；首代平台已进入场景验证阶段，计划于本月进入工厂进行试点。\u003c/span\u003e\u003c!--NO_AD_4--\u003e\u003c!--EOP_4--\u003e\u003c/p\u003e\u003c!--PARAGRAPH_4--\u003e\u003cdiv powered-by=\"qqnews_ex-editor\"\u003e\u003c/div\u003e\u003cstyle\u003e.rich_media_content{--news-tabel-th-night-color: #444444;--news-font-day-color: #333;--news-font-night-color: #d9d9d9;--news-bottom-distance: 22px}.rich_media_content p:not([data-exeditor-arbitrary-box=image-box]){letter-spacing:.5px;line-height:30px;margin-bottom:var(--news-bottom-distance);word-wrap:break-word}.rich_media_content{color:var(--news-font-day-color);font-size:18px}@media(prefers-color-scheme:dark){body:not([data-weui-theme=light]):not([dark-mode-disable=true]) .rich_media_content p:not([data-exeditor-arbitrary-box=image-box]){letter-spacing:.5px;line-height:30px;margin-bottom:var(--news-bottom-distance);word-wrap:break-word}body:not([data-weui-theme=light]):not([dark-mode-disable=true]) .rich_media_content{color:var(--news-font-night-color)}}.data_color_scheme_dark .rich_media_content p:not([data-exeditor-arbitrary-box=image-box]){letter-spacing:.5px;line-height:30px;margin-bottom:var(--news-bottom-distance);word-wrap:break-word}.data_color_scheme_dark .rich_media_content{color:var(--news-font-night-color)}.data_color_scheme_dark .rich_media_content{font-size:18px}.rich_media_content p[data-exeditor-arbitrary-box=image-box]{margin-bottom:11px}.rich_media_content\u003ediv:not(.qnt-video),.rich_media_content\u003esection{margin-bottom:var(--news-bottom-distance)}.rich_media_content hr{margin-bottom:var(--news-bottom-distance)}.rich_media_content .link_list{margin:0;margin-top:20px;min-height:0!important}.rich_media_content blockquote{background:#f9f9f9;border-left:6px solid #ccc;margin:1.5em 10px;padding:.5em 10px}.rich_media_content blockquote p{margin-bottom:0!important}.data_color_scheme_dark .rich_media_content blockquote{background:#323232}@media(prefers-color-scheme:dark){body:not([data-weui-theme=light]):not([dark-mode-disable=true]) .rich_media_content blockquote{background:#323232}}.rich_media_content ol[data-ex-list]{--ol-start: 1;--ol-list-style-type: decimal;list-style-type:none;counter-reset:olCounter calc(var(--ol-start,1) - 1);position:relative}.rich_media_content ol[data-ex-list]\u003eli\u003e:first-child::before{content:counter(olCounter,var(--ol-list-style-type)) '. 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