Max Robotics — Global Service Robot Directory + US Certification

About

Manuel Mazo is a prominent researcher whose work spans robotics, sensor systems, and assistive technologies, with particular expertise in mobile robot navigation, localization, and human-machine interfaces. Based at the University of Alcalá, his research has made lasting contributions to how robots perceive, navigate, and interact within their environments. Among his most celebrated achievements is the development of an electro-oculographic (EOG) wheelchair guidance system, enabling individuals with severe motor disabilities to control mobility devices through eye movements alone — a landmark contribution to assistive robotics that has garnered 76 citations. His work on multi-robot target tracking using directional sensors (70 citations) advanced cooperative robotics by addressing complex sensor fusion challenges with limited-range hardware. Mazo has also driven significant progress in ultrasonic sensing and acoustic localization, developing high-reliability sonar systems and FPGA-based correlation detectors that strengthened robot navigation in demanding outdoor environments. His pioneering research on "intelligent spaces" — environments embedded with multi-camera networks for seamless robot localization and control — reflects a forward-thinking architectural approach to human-robot coexistence, with multiple papers accumulating substantial citations in this domain. Across his career, Mazo's body of work demonstrates a consistent commitment to bridging sophisticated sensing technologies with real-world applications in mobility, autonomy, and accessibility.