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Center for Robotics and Autonomy @ PNNL
Connecting AI, robotics, and data architecture to accelerate scientific discovery across PNNL
Connecting AI, robotics, and data architecture to accelerate scientific discovery across PNNL
Imagine compressing years of scientific trial-and-error into days. That’s a capability Pacific Northwest National Laboratory (PNNL) is providing with a new generation of continuously learning scientific platforms—platforms where AI, robotics, and intelligent data architecture work in concert to transform experiments into rapid “Aha!” moments.
Core to this is the Center for Robotics and Autonomy @PNNL, where automated systems combine with state-of-the-science AI and data systems to change how science happens. Through integrated learning systems, science is shifting from manual, step-by-step execution to closed-loop, continuously improving discovery.
Autonomy begins with automation, but it doesn’t end there. In truly autonomous systems, data pipelines, decision-making AI, and robotics operate as one tightly coupled and validated system.
Autonomous systems can sense when conditions drift from the desired range, adopt a new strategy, and adjust to emerging information, while documenting each adjustment to maintain rigor. The hardware thinks. The software acts. And the whole system learns.
Across PNNL, in fields as diverse as biotechnology and critical materials separation, autonomous science is yielding solutions to thorny research questions. At PNNL, autonomy is built into new mission areas, from chemistry to biology to new energy storage applications.
The Center for Robotics and Autonomy elevates our leadership by bringing autonomous experimentation to our laboratories and field environments. It houses a road map and a toolkit for scientists incorporating automation and autonomy into their workflows and performs the research and development required for autonomous experiments to be systematically validated and demonstrably reliable. The center achieves this through four goals:
