Max Robotics — Global Service Robot Directory + US Certification

About

Marcus Pettersson’s research sits at the critical intersection of design optimization and industrial robotics, where he has pioneered methods to make robot development faster, more efficient, and more adaptable. His work focuses on solving discrete design problems—choosing the best components from many alternatives—and applying these solutions to the complex, real-world challenge of configuring families of industrial robots. A major contribution is his development of algorithms and frameworks for simultaneous requirement and design optimization, allowing engineers to optimize an entire robot family, not just a single model. His 2005 paper on "Methods for Discrete Design Optimization" (19 citations) laid foundational groundwork, while his 2008 study on "Design Optimization in Industrial Robotics" (13 citations) directly addressed industry needs for faster time-to-market. Pettersson also advanced the concept of "application adapted performance optimization," enabling robots to be fine-tuned for specific user scenarios rather than a one-size-fits-all design. His work on modular, component-based modeling and optimization further empowers flexible, cost-effective robot families. Through these contributions, Pettersson has provided both theoretical frameworks and practical tools that help manufacturers stay competitive in a global market.