具身智能公司Figure AI举办了一场长达120小时的机器人包裹分拣直播，并邀请实习生Aimé Gérard与旗下人形机器人进行10小时同台竞技。最终，人类以12924个总拣量胜出，仅比机器人多192个。数据显示，实习生平均单件用时2.79秒，机器人则为2.83秒，双方表现接近。
蚂蚁集团旗下灵波科技宣布全面开源具身基座模型LingBot-VLA的真机后训练工具链，开发者可利用自有数据快速将模型迁移至自有机器人和具体任务中。此举旨在解决具身智能领域开源模型增多但部署适配困难的问题，因不同机器人在机械臂构型、末端执行器、传感器配置和控制接口等方面存在差异，该工具链可简化适配流程。
小米近日开源了视觉-语言-动作大模型Xiaomi-Robotics-0的真机后训练全流程，推动具身智能发展。团队仅用约20小时任务数据训练，就让机器人掌握精准收纳耳机等高难度操作，展示了快速学习复杂技能的能力。
京东发布全球首个全链路具身智能数据基础设施JoyEgoCam，配备双摄像头，具备超高清采集和工业级性能，覆盖从数据采集到模型评测的全闭环流程。
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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