A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery

TL;DR

This paper introduces AISLE, a grassroots interconnected ecosystem for autonomous science labs that enhances collaboration, data management, and education, aiming to accelerate scientific discovery from years to months.

Contribution

The paper presents a novel interconnected autonomous lab ecosystem addressing cross-institutional collaboration, data management, and AI-driven orchestration to revolutionize scientific discovery.

Findings

AISLE enables cross-institutional autonomous lab collaboration.

Accelerates discovery processes from decades to months.

Facilitates democratization of autonomous scientific technologies.

Abstract

Scientific discovery is being revolutionized by AI and autonomous systems, yet current autonomous laboratories remain isolated islands unable to collaborate across institutions. We present the Autonomous Interconnected Science Lab Ecosystem (AISLE), a grassroots network transforming fragmented capabilities into a unified system that shorten the path from ideation to innovation to impact and accelerates discovery from decades to months. AISLE addresses five critical dimensions: (1) cross-institutional equipment orchestration, (2) intelligent data management with FAIR compliance, (3) AI-agent driven orchestration grounded in scientific principles, (4) interoperable agent communication interfaces, and (5) AI/ML-integrated scientific education. By connecting autonomous agents across institutional boundaries, autonomous science can unlock research spaces inaccessible to traditional approaches while democratizing cutting-edge technologies. This paradigm shift toward collaborative autonomous science promises breakthroughs in sustainable energy, materials development, and public health.