
AI Agent Enables Autonomous Lab Equipment Coordination
A new platform allows disparate laboratory devices to communicate and be controlled by an AI agent, streamlining research workflows. Developed with input from computational biologist Sina Barazandeh at Carnegie Mellon University, the system enables robotic arms to autonomously move samples between instruments without human intervention. This advancement aims to reduce manual labor in labs and accelerate experimental processes by creating a seamless, self-directed workflow for complex tasks.

