PNNL: Agentic AI Bot Helps Scientists Speak to Robots, Speed up Experiments
AutoLabs is a new agentic AI system that translates experimental goals into robot-specific language RICHLAND, Wash., June 29, 2026 — Researchers at the Department of Energy’s Pacific Northwest National Laboratory (PNNL) use a slew of autonomous robots for designing and implementing experiments. However, setting up an experiment on an autonomous lab robot is surprisingly slow. […] The post PNNL: Agentic AI Bot Helps Scientists Speak to Robots, Speed up Experiments appeared first on HPCwire .
Advances in AI agentic systems and their application to scientific automation are maturing to the point of practical implementation in lab environments.
This development significantly accelerates the pace of scientific discovery and experimentation by automating complex lab procedures, reducing human error and time-to-result.
Scientists can now directly translate high-level experimental goals into robot-specific instructions, drastically simplifying the interaction with autonomous lab equipment.
- · Research institutions
- · Life sciences
- · Material science
- · AI software developers
- · Manual lab technicians (routine tasks)
- · Slow-moving research paradigms
Scientific experiments become significantly faster and more scalable due to automated goal translation.
The increased experimental throughput leads to a faster pace of innovation and discovery across various scientific fields.
This automation could fundamentally alter the economics and timelines for new product development in sectors like pharma and advanced materials.
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