Papers
10
Total Citations
306
H-Index
7
About
Jiaqi Cao is pioneering the fusion of artificial intelligence and robotics to revolutionize autonomous chemical research. Their groundbreaking work centers on developing robotic AI chemists capable of independently designing, executing, and optimizing experiments. Cao’s most influential paper, “A Multiagent-Driven Robotic AI Chemist Enabling Autonomous Chemical Research On Demand” (2025, 116 citations), demonstrates how large language models can orchestrate multi-robot teams for complex laboratory tasks. Equally impactful is their study on “Automated synthesis of oxygen-producing catalysts from Martian meteorites by a robotic AI chemist” (2023, 114 citations), which showcases the potential for in-situ resource utilization in space exploration. Beyond chemistry, Cao has made notable contributions to optical fiber sensing, including machine-learning-assisted bending and torsion sensors. Their work on “Physics-informed, dual-objective optimization of high-entropy-alloy nanozymes by a robotic AI chemist” (2025, 16 citations) exemplifies a novel iterative paradigm that combines theoretical modeling with automated experimentation. With over 300 total citations across ten publications, Cao is driving a paradigm shift toward fully autonomous, AI-driven scientific discovery, making them a leading figure in the emerging field of robotic chemistry.
Research Focus
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