Max Robotics — Global Service Robot Directory + US Certification

About

Shijing Sun is a pioneering materials scientist working at the intersection of artificial intelligence, robotics, and materials discovery, with a particular focus on accelerating the development of next-generation energy materials. Her research has been instrumental in advancing self-driving laboratories — autonomous platforms that combine machine learning, robotic experimentation, and high-throughput screening to dramatically speed up materials research. Sun's most celebrated contribution is her discovery of temperature-induced stability reversal in perovskite photovoltaics, published in 2021 and amassing 174 citations, which fundamentally challenged prevailing assumptions about accelerated ageing tests used to evaluate perovskite solar cell stability. Her pioneering use of automated robotic systems to investigate how trace water influences halide perovskite crystal formation further demonstrated the power of data-driven serendipity in uncovering subtle chemical phenomena across thousands of experiments. More recently, Sun has expanded her autonomous research framework to tackle redox flow battery materials, catalysis optimization through human-AI-robot collaboration, and metal-organic framework crystallization controlled via computer vision. Her development of accessible characterization tools like the open-source Kamome positioning system reflects a commitment to democratizing laboratory automation. Collectively, her work represents a transformative vision for how science itself can be conducted.