Max Robotics — Global Service Robot Directory + US Certification

About

Yang Bai is a pioneering researcher at the intersection of robotics, automation, and materials discovery, whose work has fundamentally advanced the field of self-driving laboratories and accelerated materials science. Best known for contributions to the landmark "A Mobile Robotic Chemist" project — one of the most influential papers in laboratory automation, amassing over 1,400 citations — Bai helped demonstrate that autonomous robotic systems could independently navigate a chemistry laboratory, design experiments, and optimize photocatalytic materials without human intervention. Building on this foundation, Bai has developed sophisticated frameworks for materials acceleration platforms, including object-oriented workflow architectures that enable flexible, evolving experimental pipelines. Their research extends into closed-loop multi-objective optimization, exemplified by work on copper antimony sulfide photo-electrocatalytic materials for solar-driven water splitting — addressing real-world challenges in renewable energy through intelligent autonomous discovery. More recently, Bai has contributed to open-hardware robotic platforms like AMPERE-2, democratizing access to automated electrodeposition and catalyst validation workflows. Collectively, Bai's research represents a compelling vision for the future of chemistry: reproducible, efficient, and intelligent experimental systems that dramatically compress the timeline from hypothesis to discovery.