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arXiv AI By Xiaobo Li, Luyao Ge, Xiaohui Li, Lulu Guo, Ming Mao, Jiwang Zheng, Wenting Guan, Xin Yang, Yi Luo, Jun Jiang, Linjiang Chen

A computable representation of the physical laboratory enables verifiable workflows

Read the original on arXiv AI →

The paper introduces a computable representation of the physical laboratory that combines typed research objects, capability‑bound operations, and a compositional workflow algebra. This framework allows scientific workflows to be expressed as programs that track evolving laboratory states, including explicit dependencies, decisions, iteration, and concurrency. Implemented in a modular agentic robotic laboratory, the system binds formal operations to executable Function Skills, generates capability‑relative workflows for diverse scientific goals, and uses stateful simulation to verify operation preconditions and laboratory constraints before execution.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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