Oak Ridge National Lab Highlights the Critical Role of Facilities and Operations in AI-Powered Autonomous Research

Oak Ridge National Laboratory (ORNL) has scaled its autonomous science capabilities to include more than a dozen self-driving laboratories that utilize robotics and AI for continuous experimentation. This transformation is supported by a workforce of nearly 1,300 Facilities and Operations (F&O) staff who manage the complex infrastructure, networking, and industrial automation required for these facilities. The partnership between researchers and operations personnel is critical for the Robotics & Automation sector as it shifts toward 24/7 automated discovery models.

ORNL’s autonomous laboratories represent a significant advancement in the Robotics & Automation sector, employing sensors and robotic systems to perform tasks like liquid pouring and sample management with minimal human oversight. According to Rob Moore, a distinguished staff scientist at ORNL, embedding AI into these workflows changes both the scientific process and the operational enterprise that supports it. These labs are designed to learn and adapt, with AI making critical decisions during experiments, which necessitates a highly stable and integrated network of equipment, controls, and data systems.

The physical infrastructure for these labs is built and maintained by a 'hidden workforce' of craft workers, engineers, and technicians. Specific contributions include pipefitters connecting multiple gas streams, instrument technicians installing specialized communication wiring, and electricians setting up charging stations for mobile robots. Craig Bridges, a chemist at ORNL, highlighted that these professionals are essential for ensuring experiments can run safely while staff are off-site, allowing researchers to focus on data delivery rather than hardware maintenance.

Innovation within these facilities is further driven by the Interconnected Science Ecosystem (INTERSECT) initiative, which aims to create a communicative ecosystem for 24/7 achievement. Instrument technician Darren Loposser is currently working to transform older lab spaces into modern facilities connected by a single control network, bringing industrial automation standards to scientific research. This approach not only improves safety and efficiency but also creates structured data streams that AI tools use to analyze results and guide future experiments, setting a new standard for the design and operation of automated research facilities.