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

marsbit發佈於 2026-04-01更新於 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".

你可能也喜歡

宏观顶流付鹏的下半场

知名宏观经济学家付鹏正式加盟新火集团，出任首席经济学家，负责将数字资产纳入全球资产配置框架，为机构客户提供研究支持。这是他离开东北证券近一年后的首次正式任职，标志其职业进入新阶段。付鹏拥有丰富国际投行和对冲基金背景，擅长以通俗方式解读宏观逻辑，在社交媒体拥有大量粉丝。2024年因一场涉及经济研判的内部演讲内容被广泛传播，其账号遭封禁半年，后以健康原因离职。新火集团作为香港持牌数字资产管理机构，近年业务快速增长但仍处亏损状态，正转向服务家族办公室及机构客户。公司需要付鹏的传统金融背景及公众影响力，帮助建立传统高净值客户对数字资产的信任。此次合作旨在结合传统FICC与加密货币（C）领域，在合规框架下拓展机构级服务。双方能否成功融合、实现业务突破，尚待时间检验。

marsbit52 分鐘前

marsbit52 分鐘前

国际清算银行称稳定币不符合货币核心要求

BIS（国际清算银行）总经理Pablo Hernández de Cos近日在东京研讨会上表示，现有稳定币不符合作为广泛接受的支付工具的核心要求。他指出，稳定币虽试图模拟法定货币，但缺乏“货币性”的两个关键特征：单一性和互操作性。单一性要求不同形式的货币可等值互换，而稳定币因缺乏中央结算机制易出现价值偏差；互操作性则要求跨平台无缝流通，但当前各链上稳定币无法天然互通。这些缺陷限制了其网络效应，使其仍是一种“小众”支付工具。尽管稳定币在跨境支付方面具潜力，但也可能影响信贷供应、金融稳定及政策实施。目前稳定币总市值突破3200亿美元创新高，比特币价格徘徊于7.5万美元附近。

bitcoinist54 分鐘前

bitcoinist54 分鐘前

中期选举的胜负，对特朗普和Crypto意味着什么？

中期选举中执政党丢失席位是历史常态，自1946年以来20次中期选举中，总统所在政党在90%的情况下都失去了席位，平均每次丢失28个众议院席位和4个参议院席位。这反映了选民对权力的制衡本能，只有极端外部事件（如大萧条、弹劾反噬或国家安全危机）才能打破这一规律。目前特朗普支持率低迷（41%），经济支持率仅31%，且面临油价上涨、关税增加等不利因素。预测显示，民主党有84%的概率赢得众议院，但共和党可能保住参议院，形成分裂政府。这将阻碍重大立法推进，但特朗普仍可通过行政令、机构人事任命、预算和解程序和否决权来推动加密货币监管松绑，例如调整SEC、CFTC政策或稳定币规则。然而，需要国会两院通过的结构性法案（如市场结构法案和稳定币法案）可能受阻，立法窗口或在2026年夏天关闭。加密货币行业已投入巨额资金（约2.88亿美元）游说，但选举结果更取决于经济议题而非政策条款。尽管特朗普是迄今对加密货币最友好的总统，推动了ETF放开和监管转变，但行业期待可能过高。中期失利虽会放缓立法进程，但监管格局已不可逆，行业焦点应放在抓紧当前立法窗口而非选举结果上。

marsbit1 小時前

marsbit1 小時前

卡尔达诺领导层结构引发审视，其未来蒙上阴影——原因解析

在区块链领域，卡尔达诺（Cardano）网络被多位加密分析师评为去中心化程度最高的区块链，但其领导结构近期引发争议。分析师Cardano Yoda指出，尽管该网络通过链上治理机制（如DReps和Pentad）实现了决策去中心化，但领导力和执行层面仍高度依赖创始实体（IOG、Cardano基金会和EMURGO）及创始人Charles Hoskinson，导致责任分散和战略协调不足。 Yoda认为，链上治理不等于领导力，当前网络缺乏明确领导者，可能影响决策效率与生态发展。他建议未来应由DReps通过DAO形式承担更多领导责任，包括资金分配、战略制定和优先级排序，同时需加强DReps、创始实体及协调组织Intersect之间的协作层。尽管实现路径存在挑战，但明确领导机制对卡尔达诺的长期发展至关重要。

bitcoinist3 小時前

bitcoinist3 小時前

比特币必须做到这一点才能延续涨势，否则将宣告结束

一位加密货币分析师指出，比特币若想维持上涨趋势，必须守住关键支撑位，否则可能面临牛市终结的风险。该分析列出了17个潜在支撑位，范围从7万美元以上直至3万美元区间。分析师Swarmik强调，比特币整体前景仍偏乐观，任何一次回调都可能成为新一轮上涨的催化剂——除非价格跌至彻底破坏结构的关键水平。首道防线位于70,931美元（“突破阻滞区”），其次是68,931美元（“失衡区”）。若继续下行，66,638美元（“反转线”）和64,491美元（“心理关口”）可能提供支撑。更低位支撑包括62,345美元（斐波那契位）、60,198美元（以太突破区）和55,905美元（公允价值缺口）。关键中期支撑聚焦51,612美元（需求区）和49,466美元（供应区）。若跌至47,319美元（流动性池）以下，则可能触发连锁下跌。最终防线位于38,733美元（最后支撑堡垒），一旦失守并跌破34,732美元，将意味着比特币牛市结构彻底瓦解。当前比特币仍保持在支撑位上方，但需密切关注这些关键价位的防守情况。

bitcoinist5 小時前