Andrew Fox

Papers

Total Citations

H-Index

About

Andrew Fox is a robotics researcher whose work focuses on sensor-based localization and navigation for autonomous mobile robots, particularly in indoor environments. His most cited paper, "Target Design and Recognition for 2-D Localization of Indoor Mobile Robots Using a Laser Sensor" (2013), addresses a fundamental challenge in robotics: enabling a robot to determine its precise position within a structured space using laser range-finding. In this work, Fox proposed a novel method for designing artificial landmarks and a recognition algorithm that allows a robot to reliably identify these targets and compute its 2D pose. This contribution is critical for applications in warehouse automation, service robotics, and industrial inspection, where accurate, low-cost localization is essential. While his citation count of 3 reflects a focused, early-career impact, the work demonstrates a clear, practical approach to a persistent problem in mobile robotics. Fox’s research sits at the intersection of sensor fusion, geometric modeling, and real-time control, offering a foundation for future work in robust, marker-based navigation systems.