Carl Owen

Papers

Total Citations

116

H-Index

About

Carl Owen’s research has fundamentally shaped how mobile robots perceive, learn, and navigate through unstructured environments. His primary contributions lie at the intersection of autonomous navigation, landmark-based mapping, and self-organizing systems. Owen pioneered a landmark-based navigation mechanism that allows robots to build internal maps through a process of unsupervised clustering of sensory data, enabling them to learn routes by simply being led through an environment by an operator. This work, detailed in his highly cited 1998 paper (41 citations), established a foundation for robots to autonomously interpret their surroundings without pre-programmed maps. His seminal 2000 paper, "Robot navigation in the real world" (54 citations), remains his most influential, demonstrating how these self-organizing principles could be applied to practical, real-world navigation challenges. Owen further extended his research to dynamic environments, showing how robots could maintain robust map interpretation even as their surroundings changed. With a total of over 116 citations across his key publications, Carl Owen’s work continues to inspire new generations of researchers in autonomous robotics and machine learning.