Embodied Intelligence Breakthrough: Amap Fully Open-Sources Universal Robot Base Model ABot-M0

marsbit发布于2026-04-01更新于2026-04-01

文章摘要

Embodied Intelligence Breakthrough: AutoNavi Open-Sources Universal Robot Base Model ABot-M0 AutoNavi has announced the full open-source release of ABot-M0, the world's first unified architecture-based embodied manipulation base model. This model is designed to enable "one general brain to adapt to multiple forms of robots," aiming to break down barriers between heterogeneous hardware and accelerate the adoption of embodied intelligence in industrial and household settings. ABot-M0 demonstrated exceptional performance in industry tests, achieving a task success rate of 80.5% on the Libero-Plus benchmark—a nearly 30% improvement over the previous benchmark, Pi0. It also set new state-of-the-art records on benchmarks like Libero and RoboCasa. The open-source release addresses long-standing challenges in the field, such as data isolation and deployment difficulties, by providing resources across three key dimensions: - **Data:** The UniACT dataset, the largest of its kind, with over 6 million real operation trajectories and full data pipeline tools. - **Algorithm:** The model architecture and training framework, featuring innovative components like Action Manifold Learning (AML) and a dual-stream perception architecture. - **Model:** End-to-end pre-trained models and a complete toolchain for out-of-the-box deployment, significantly lowering the barrier to adaptation. According to AutoNavi's ABot-M0 technical lead, this open-source initiative aims to build a bridge between ac...

The field of embodied intelligence has reached a milestone. Amap today officially announced the full open-source release of the world's first unified architecture-based robot operation base model ABot-M0. The core positioning of this model is to achieve "one universal brain adaptable to various forms of robots," aiming to break down barriers between heterogeneous hardware and accelerate the transition of embodied intelligence from the laboratory to industrial and home scenarios.

Core Technology and Performance

ABot-M0 has demonstrated outstanding performance in multiple industry authoritative benchmark tests. Data shows that the model achieved a task success rate of up to 80.5% on the Libero-Plus benchmark, a nearly 30% improvement over the previous industry benchmark solution Pi0. Furthermore, it set new SOTA (State-of-the-Art) records in tests such as Libero and RoboCasa.

Full Open-Source Across Three Dimensions

To address the long-standing pain points of "data silos" and "deployment difficulties" in the field of embodied intelligence, Amap's open-source release covers three key dimensions: underlying data, core algorithms, and pre-trained models:

Data Level: Open-sourced the currently largest universal robot dataset UniACT. This dataset integrates over 6 million real operation trajectories and provides a complete processing pipeline from heterogeneous data to standardized training data.
Algorithm Level: Simultaneously released the model architecture and training framework. Core highlights include Amap's innovative Action Manifold Learning (AML) algorithm and Dual-Stream Perception Architecture, endowing robots with exceptional spatial understanding and action execution capabilities.
Model Level: Provided end-to-end pre-trained models and a complete toolchain. Developers can achieve "out-of-the-box" usability without building a framework from scratch, significantly lowering the barrier to adapting to industrial collaborative or home service robots.

Industry Impact

Amap's ABot-M0 technical lead stated that true general embodied intelligence requires the collective refinement of global developers. The open-sourcing of ABot-M0 is not just a sharing of technology but also aims to build a bridge connecting academic research and industrial application, enabling every robot of different forms to possess a smart, reliable, and universal "brain".

你可能也喜欢

一个 Polymarket 资深用户的心声：其实我们已经被对手反超了

作为Polymarket的资深用户，作者Jonah表达了对平台现状的担忧。尽管Polymarket曾是预测市场的领导者，但现在已被主要竞争对手Kalshi反超。Kalshi估值约220亿美元，今年交易量达370亿美元，而Polymarket估值约150亿美元，交易量290亿美元，且在美国市场份额大幅落后。文章指出Polymarket面临多重问题：核心产品不稳定，多次推迟技术升级（如CLOB V2迁移），维护窗口超时，沟通混乱；美国版应用长期处于测试阶段，上百万人被卡在候补名单中；优先级错乱，在平台未完善时就急于推出永续合约等盈利产品，被质疑“抢钱”。作者认为，Polymarket必须结束“野路子创业公司”模式，提升运营专业性，优先修复平台稳定性、全面开放美国应用，再扩展新业务。尽管面临挑战，Polymarket仍拥有ICE投资、MLB合作、强大品牌和忠实社区等优势，有望赢回市场，但时间窗口正在缩小。

marsbit3分钟前

marsbit3分钟前

MetaMask 联创走了，留下一只被装进 IPO 招股书的小狐狸

MetaMask联合创始人Dan Finlay因职业倦怠及家庭原因宣布离开Consensys，结束其十年开发生涯。MetaMask作为加密世界最具辨识度的钱包应用，全球安装量超1亿，月活约3000万，累计产生超过3.25亿美元手续费收入。然而，MetaMask正面临增长困境。尽管它曾是行业默认钱包，但如今正被新兴竞品如Phantom等超越。Phantom凭借Solana生态爆发迅速崛起，年化收入约为MetaMask的两倍。MetaMask因身份绑定以太坊生态而跨链布局迟缓，直到2025年5月才原生支持Solana，错失市场窗口。 Consensys在2025年聘请摩根大通和高盛推进IPO计划，目标今年上市。但公司近年经历多轮裁员，员工士气低迷，且原计划发行的$MASK代币一再推迟，至今未落地。分析认为，MetaMask品牌价值仍存，但产品竞争力已显疲态。其依赖历史用户迁移成本而非产品创新留住用户，新增用户更倾向选择其他钱包。Consensys选择此时推进IPO，意在趁品牌尚有溢价时实现资本变现。 Finlay的离场未引起行业广泛关注，反映MetaMask虽具规模却渐失活力。其故事警示：成为“默认”虽具优势，但也可能掩盖产品老化危机。如今，MetaMask正站在存量犹存、增量流失的转折点，其未来取决于能否重塑产品力而非仅靠品牌叙事。

marsbit4分钟前

marsbit4分钟前

加密市场宏观研报：停火博弈、美联储换帅与机构化提速

2026年4月，全球加密市场在三重变量的交织博弈中呈现出结构性分化与阶段性修复。美伊临时停火协议于4月9日生效后首日即现严重分歧——美方宣称霍尔木兹海峡"全面开放"，伊朗则将日通行量限制在约10艘（战前水平不足8%），且4月12日谈判破裂，市场随之震荡。4月21日伊朗宣布重新参与谈判，比特币反弹至76,000美元上方，但4月22日停火期限再度临近。美联储方面，特朗普威胁解除鲍威尔职务，凯文·沃什提名听证会举行，委员会内部鹰鸽分歧明显。与此同时，摩根士丹利现货比特币ETF（MSBT）上市，首周吸金超1亿美元，费率仅0.14%，标志着华尔街正式将比特币纳入标准化产品体系。在这三重变量共同作用下，比特币在4月展现出独特韧性，但上下两难的技术格局与尚未落定的地缘政治博弈，使市场短期内难以形成方向共识。

火币成长学院25分钟前

火币成长学院25分钟前

独角兽公司报告：美国湾区一小时车程内，装着全球 90% 的 AI 市值

美国旧金山湾区已成为全球生成式AI的超级集群，集中了全球91%的AI独角兽市值，占所有独角兽总市值的39%。全球独角兽市值高度集中，美国占比达65%，是中国的4倍。新独角兽诞生速度放缓，但平均估值创六年新高，主要由AI公司驱动。AI独角兽估值增速远超非AI公司，生成式AI市值占比从2%飙升至22%。湾区、纽约、洛杉矶和波士顿是美国四大独角兽集群，分别聚焦AI、金融科技/加密、国防/航天及消费、生物科技等行业。此外，大量“僵尸”独角兽滞留估值，但美国活跃独角兽比例较高。

marsbit1小时前

marsbit1小时前

付鹏 2026 首场公开演讲：加密资产究竟是什么？我为何加入加密资产行业？

付鹏在2026年香港Web3嘉年华演讲中，首次公开阐述对加密资产的理解及其在宏观经济中的地位。他指出，自己从2022年开始关注加密资产，并认为当前加密资产行业正经历从早期粗放发展阶段向成熟金融化阶段的转变。付鹏以20世纪70-80年代金融衍生品市场的发展历程类比，指出技术进步（如计算机和半导体）推动了传统金融向FICC（固定收益、货币、商品及衍生品）业务的融合。同样，当前以区块链、数据、算力和人工智能为代表的技术正在重构金融业态，加密资产将逐步被纳入主流金融机构的大类资产配置框架，形成“FICC + C（Crypto）”的新格局。他强调，2025年是加密资产合规元年，随着稳定币法案等相关监管框架的明确，传统金融机构将大规模进入这一领域，市场逻辑和参与者结构将发生根本变化。加密资产将从早期信仰驱动转向金融属性驱动，比特币等资产将被明确定义为“具备价值维护功能、可金融化交易的商品资产”。付鹏表示，自己作为传统金融领域的从业者，之所以进入加密资产行业，是因为其已发展到可被成熟纳入投资组合的阶段，标志着新时代的开启。

marsbit2小时前