Embodied.cpp: Unified Inference Runtime for Embodied AI Deployment on Heterogeneous RobotsEmbodied.cpp发布：具身AI跨平台部署统一运行时
S 2.8T12 sources2 个来源R7-research cross-source×2
A team of nine researchers introduced Embodied.cpp, a portable C++ inference runtime for unifying deployment of embodied AI models (vision-language-action and world-action models) on heterogeneous edge robots, with the paper submitted to arXiv on July 2, 2026.
The runtime features a five-layer architecture (input adapters, sequence builders, backbone execution, head plugins, and deployment adapters) and enables multi-rate closed-loop execution and batch-1 latency-first inference to address fragmentation across model-specific Python stacks and robot-specific code.
Embodied.cpp provides modular multi-rate execution, latency-optimized fused inference, and extensible operator and I/O support beyond fixed token input-output paradigms.