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Xiao-Bo Li

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#artificial intelligence Preprint Sep 2026

A computable representation of the physical laboratory enables verifiable workflows

The proposed representation and its engineering framework jointly establish a general computational interface between agent reasoning and capability-bound physical transformations, providing a foundation for end-to-end autonomous scientific discovery.

Xiao-Bo Li, Lu-Yao Ge, Xiao-Hui Li et al. · 0 citations
Open access Aug 2026

Multi-task scheduling of self-driving laboratories under scientific constraints

This paradigm establishes a practical scheduling framework for concurrent multitasking in SDLs, ensuring the experimental consistency required to generate the high-fidelity datasets foundational to autonomous, AI-driven scientific discovery.

Junyi Zhou, Lu-Yao Ge, Xiaobo Li et al. · 1 citation
Jun 2026

Labimus: A Simulation and Benchmark for Humanoid Dexterous Manipulation in Chemical Laboratory

Laboratory automation has made remarkable progress through robotic platforms and AI-driven scientific reasoning. However, many laboratory operations (e.g., solid--solid transfer) remain inherently dynamic and require real-time adaptation to different materials and experimental conditions. Such precision-critical manipu...

Yuhan Wu, Zhao Jin, Tao Li et al. · 1 citation

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