AI-Driven Self-Driving Lab | Core Projects | INSTITUTE FOR…

IMMS Core Projects (CP1–CP4) are cross-cutting research programs that integrate efforts across Technical Groups and shared Platforms to achieve breakthrough ou…

AI-Driven Self-Driving Lab

An open autonomous experimental platform performing synthesis to analysis via AI and robotic automation.

AI-Driven Self-Driving Lab
CP3

AI-Driven Self-Driving Lab

An open autonomous experimental platform performing synthesis to analysis via AI and robotic automation.

CHALLENGE

Challenge

Materials discovery remains slow when design, synthesis, analysis, and learning are separated into manual workflows.

RESEARCH GOAL

Research Goal

Create an open autonomous experimentation platform that connects AI planning, robotic execution, and data learning.

RESEARCH PROGRAM

Research Focus

<p>CP3 establishes an open autonomous experimental platform that performs the entire process from synthesis to analysis using AI and robotic automation. It integrates fragmented experimental workflows into a modular Self-Driving Lab (SDL) to drastically improve material development efficiency and reproducibility, implementing a globally scalable infrastructure where researchers worldwide can share equipment and data via the cloud.

CP3 innovates the material development paradigm by fusing AI and automation hardware. It builds a closed-loop system where LLM-based scientific reasoning agents design experimental paths, while flow chemistry systems and robots execute them automatically, searching for optimal conditions through real-time data feedback. Technically, it includes multi-LLM-based retrosynthesis, foundation model-driven process control, and experimental optimization via Bayesian optimization.

EXPECTED OUTCOMES

Expected Outcomes

Reusable self-driving lab workflows, cloud-connected experimental infrastructure, and accelerated research cycles.