OpenBMB Open-Sources MiniCPM-Robot: Embodied AI That Keeps Tracking Offline
iamfakhrealam · x · 2026-07-24
OpenBMB has open-sourced its first embodied AI model series, MiniCPM-Robot, at WAIC. The release features a wild live demo where unplugging a robot dog's network cable doesn't interrupt its tracking at all.
The series includes three main components:
- MiniCPM-RobotTrack: A 0.9B parameter model built on MiniCPM4-0.5B. It runs entirely on the robot's onboard hardware (e.g., Unitree Go2 Edu) with no internet required, achieving 180ms end-to-end latency at 5+ Hz.
- MiniCPM-RobotManip: A 1.5B general-purpose VLA model. Using efficient visual token compression, it matches the performance of Qwen-VLA and π0.5 while using roughly half the visual-processing compute.
- Inference Optimization: With PhyAI’s CUDA Graph optimization and custom Triton fused kernels, inference throughput jumps from 10 Hz to 33 Hz, and up to 36 Hz on NVIDIA H20.
Related event: OpenBMB Open-Sources MiniCPM-Robot for Offline Embodied AI(10 posts)→
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