Stephen Quebe

Papers

Total Citations

146

H-Index

About

Stephen Quebe’s research lies at the intersection of multi-robot systems, nonlinear estimation, and autonomous navigation, with a particular focus on cooperative localization in GPS-denied environments. His most influential work, “Graph-Based Observability Analysis of Bearing-Only Cooperative Localization” (2011, 91 citations), established a fundamental link between the observability of a robot team and the underlying communication and measurement graph. By proving that graph-theoretic properties such as connectivity directly determine whether a team can estimate its configuration using only bearing measurements, Quebe provided a rigorous, scalable framework for designing decentralized localization algorithms. This work remains a cornerstone for researchers tackling cooperative perception with minimal sensing. He extended these ideas in “Bearing-only Cooperative Localization” (2013, 50 citations), further exploring practical implementations. His thesis, “Modeling, Parameter Estimation, and Navigation of Indoor Quadrotor Robots” (2013), demonstrates his breadth, covering quadrotor dynamics, sensor calibration, and state estimation for indoor flight. Quebe’s contributions have shaped how roboticists think about the interplay between network topology and estimation performance, offering both theoretical depth and practical guidance for deploying autonomous teams in challenging, infrastructure-free settings.