Localization, inspection, and reasoning (LIRA) module for autonomous workflows in self-driving laboratories.

ABSTRACT: Self-driving labs (SDLs) combine robotic automation with artificial intelligence (AI) to allow autonomous, high-throughput experimentation. However, robot manipulation in most SDL workflows operates in an open-loop manner, lacking real-time error detection and error correction. This can reduce reliability and overall efficiency. Here, we introduce LIRA (Localization, Inspection, and Reasoning), which is an edge computing module that enhances robotic decision-making through vision-language models (VLMs). LIRA enables precise localization, automated error inspection, and reasoning, thus allowing robots to adapt dynamically to variations from the expected workflow state. Integrated within a client-server framework, LIRA supports remote vision inspection and seamless multi-platform communicati

SUBMITTER: Zhou Z 

PROVIDER: S-EPMC12663431 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature