Artificial intelligence (AI) and robotics are rapidly transforming the chemical sciences by automating complex experimental workflows and accelerating discoveries. The emergence of the “RoboChemist” an autonomous chemical laboratory capable of planning, executing, and analyzing experiments with minimal human intervention represents a revolutionary advancement in scientific research. By integrating AI, machine learning (ML), robotics, high-throughput experimentation (HTE), and cloud-based data management, these systems promise improved efficiency, reproducibility, and sustainability in chemical research. This review article explores the concept, architecture, current developments, benefits, limitations, and future perspectives of RoboChemist systems, emphasizing their growing importance in modern chemistry.
Habib et al. (Sat,) studied this question.
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