Max Robotics — Global Service Robot Directory + US Certification

About

Wiktor Olszowy’s research lies at the intersection of mobile robotics, human-robot interaction, and motion planning, with a particular focus on how robots can navigate and interact with people in a socially intelligent manner. His work addresses the challenge of making robot locomotion not only efficient but also readable and predictable for human partners. In his highly cited 2016 paper, “Measuring the Effectiveness of Readability for Mobile Robot Locomotion” (29 citations), Olszowy systematically quantified how a robot’s movement style influences a human’s ability to anticipate its path—a foundational contribution to legible robot motion. He further explored the social dimensions of navigation in “Socio-Contextual Constraints for Human Approach with a Mobile Robot” (17 citations), identifying key factors that govern comfortable and natural robot approaches. Olszowy also advanced the theoretical understanding of interactive navigation by applying game theory to model the conditional cooperation between humans and robots (16 citations). His methodological work on using penalized spline regression to analyze human motion trajectories (8 citations) provides a rigorous statistical toolkit for extracting meaningful patterns from complex motion data. Through these contributions, Olszowy has helped shape a more human-aware approach to autonomous navigation, bridging the gap between algorithmic efficiency and social fluency.