2026世界人工智能大会上，得物App携千觉机器人推出全球首款AI鉴别机器人，探索具身智能商品鉴别。依托“先鉴别、后发货”模式积累的数十亿级查验数据，得物自研“AI大脑”鉴别系统，通过细粒度感知实现精准鉴定。
银河通用机器人CTO王鹤在2026世界人工智能大会上预测，具身智能2028年前将迎来重大突破，表现媲美ChatGPT。基础模型经海量数据训练，对未专门训练任务可达70%-80%成功率，堪比早期数字模型。
7月16日，小米发布面向真实移动操作的具身基底模型Xiaomi-Robotics-1。该模型基于10万小时真实世界数据预训练，结合跨本体后训练，突破传统机器人策略的硬件依赖与数据规模瓶颈；预训练阶段引入UMI（通用操作接口），标志着小米在具身智能领域系统化推进规模法则（Scaling Law）。
智元创新发布“具身智能数采2.0”，聚焦机器人适应现实环境的难题，从数据运营、模型测评和场景落地三大维度升级，为机器人研发注入核心动力。
智元机器人发布的具身智能一站式开发平台，覆盖数据采集到模型推理全链路
Openai
-
Input tokens/M
Output tokens/M
Context Length
Anthropic
$21
$105
200
Google
$0.7
$2.8
1k
$8.75
$70
400
$1.75
$14
$0.35
$525
$7.7
$30.8
131
$5.6
$28
$1.05
$4.2
Xai
128
$210
$420
32
declare-lab
基于开放X具身数据集训练的视觉-语言-动作模型，以语言指令和摄像头图像为输入生成机器人动作
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