Max Robotics — Global Service Robot Directory + US Certification

About

Peter Ursic’s research centers on enabling household service robots to understand and navigate human environments through advanced spatial perception and room categorization. His major contribution is the development of part-based and hierarchical spatial models that allow robots to recognize the functionality of rooms—such as kitchens, living rooms, or bathrooms—in previously unseen homes using data from visual sensors and 2D laser range finders. His most-cited work, “Part-based room categorization for household service robots” (2016, 21 citations), introduces a novel part-based model that breaks down rooms into functional components, significantly improving recognition accuracy. Earlier foundational papers, including “Room classification using a hierarchical representation of space” (2012, 18 citations) and its 2013 follow-up (7 citations), propose compositional hierarchical representations that are compact, expressive, and scalable—key traits for real-world deployment. Ursic’s approach bridges computer vision and robotics, offering practical solutions for autonomous navigation in domestic settings. His work has been recognized for its innovation in spatial modeling, with cumulative citations exceeding 50, and continues to influence research in service robotics and environment understanding.