Max Robotics — Global Service Robot Directory + US Certification

About

Alvaro Miyazawa is a prominent researcher in formal methods for robotics, specialising in the modelling, verification, and safety assurance of robotic systems. His most influential contribution is RoboChart, a domain-specific modelling language designed to bridge the gap between intuitive graphical design and rigorous mathematical verification of robotic applications. Introduced in a 2019 paper that has accumulated 113 citations, RoboChart enables engineers to model robot controllers and automatically verify their correctness through model checking and theorem proving — a critical capability given the safety hazards inherent in modern robotics. Miyazawa has consistently expanded this foundational work, extending RoboChart to handle timed systems, probabilistic uncertainty, and swarm robotics. His development of the RoboStar Technology toolbox integrates proof, simulation, and testing into a unified engineering framework, reflecting a commitment to practical, industry-relevant solutions. His 2019 work on verified simulation further demonstrates his focus on end-to-end assurance pipelines. Across his career, Miyazawa has contributed over 300 citations to the field, establishing himself as a key figure in making robotic software engineering more reliable, rigorous, and accessible to practitioners building the safety-critical systems of tomorrow.