Max Robotics — Global Service Robot Directory + US Certification

About

Min Dai is a pioneering researcher whose career spans from foundational work in modular robotics to cutting-edge advances in safe locomotion and bio-inspired sensing. In the early 1990s, Dai established core principles for reconfigurable manufacturing systems, with seminal papers such as "Conceptual Design of a Modular Robot" (113 citations) and "A Reconfigurable Fixturing System for Robotic Assembly" (34 citations) laying the groundwork for flexible automation. These contributions introduced the key idea that system flexibility arises not just from software but from mechanically reconfigurable hardware—a concept that has influenced industrial robotics for decades. More recently, Dai has ventured into safety-critical robotics, co-authoring "Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions" (10 citations), which addresses the real-world challenge of maintaining safety guarantees on hardware platforms where perfect models are unavailable. In 2024, Dai also contributed to the emerging field of artificial olfaction with a comprehensive review on artificial olfactory memory (9 citations), linking materials science to robotic perception. This trajectory—from modular fixtures to learning-enabled safety and bio-inspired sensing—showcases a career defined by adaptability and foresight, with a total citation impact exceeding 180 across these key works.