Max Robotics — Global Service Robot Directory + US Certification

About

Curtis P. Berlinguette is a leading figure in autonomous materials discovery, pioneering the use of self-driving laboratories to revolutionize clean energy technologies. His research integrates robotics, machine learning, and electrochemistry to accelerate the development of functional materials, from adhesives to energy conversion devices. Berlinguette’s most influential work includes the design of a self-driving laboratory that autonomously prepares, tests, and optimizes adhesive formulations, achieving rapid property improvements (48 citations). He also developed a similar platform for thin-film materials, demonstrating how closed-loop experimentation can slash the decade-long timeline for discovering commercially viable clean energy materials (43 citations). More recently, his team has applied this approach to optimize gas diffusion electrodes for CO₂ electrolyzers, a critical step toward scalable carbon conversion (2025). With over 100 publications and numerous awards, including a Canada Research Chair, Berlinguette is reshaping how materials science is conducted—moving from trial-and-error to intelligent, automated discovery. His work promises to accelerate the deployment of sustainable technologies by orders of magnitude.