Max Robotics — Global Service Robot Directory + US Certification

About

Martin Fabian is a prominent researcher in discrete event systems, formal methods, and intelligent automation, whose work spans foundational theory and practical industrial applications. Based at Chalmers University of Technology, he has made enduring contributions to supervisory control theory and manufacturing automation tools that bridge the gap between abstract models and real factory environments. Fabian is perhaps best known as a key developer of **Supremica**, a widely adopted tool for modeling and analyzing discrete-event control systems using finite-state machines extended with variables — a contribution that has garnered over 76 citations and become a reference platform for researchers worldwide. His work on robot cell coordination, including automatic generation of collision-free and time-optimal schedules, further demonstrates his commitment to solving real industrial challenges with rigorous formal methods. More recently, Fabian has extended his focus toward intelligent and collaborative automation systems, developing the **Sequence Planner** framework for coordinating autonomous and collaborative robots in complex manufacturing environments. His 2018 work on data-driven process visualization reflects a growing interest in connecting shop-floor realities with digital models. With a career spanning over three decades — from early object-oriented manufacturing control in 1992 to modern intelligent automation frameworks — Fabian represents a rare combination of theoretical depth and applied engineering impact.