面壁智能开源首个具身AI模型系列 MiniCPM-Robot，包含 1.5B 参数的通用视觉-语言-动作（VLA）模型 MiniCPM-RobotManip 和用于目标跟踪的 MiniCPM-RobotTrack。同时发布高性能推理框架 PhyAI，旨在让机器人实现理解、记忆与行动。
面壁智能把1.5B的VLA模型完整开源，让个人开发者也能在真实机器人上跑操作和跟踪，这个开放程度在具身领域很罕见，做机器人的可以直接 clone 跑一下。
🚀 MiniCPM enters the physical world — enabling robots to understand, remember, and act.
We open-source MiniCPM-Robot, our first embodied AI model series, including:
🤖 MiniCPM-RobotManip — a 1.5B general-purpose Vision-Language-Action (VLA) model for robotic manipulation.
🐕 MiniCPM-RobotTrack — a compact model for real-world target tracking.
⚡ PhyAI — a high-performance inference framework built for embodied models.
Together, they bring efficient, practical, and open embodied intelligence closer to real-world robots.
⭐ GitHub: http://github.com/OpenBMB/MiniCPM-Robot
🤗 MiniCPM-RobotManip:
http://huggingface.co/openbmb/MiniCPM-RobotManip
🤗 MiniCPM-RobotTrack:
http://huggingface.co/openbmb/MiniCPM-RobotTrack
来源：OpenBMB · x.com