Max Robotics — Global Service Robot Directory + US Certification

About

Bill Moran is a leading researcher in autonomous robotics, multi-agent systems, and sensor fusion, with a particular focus on search and navigation in challenging, real-world environments. His work addresses critical problems in national security and field robotics, most notably through the development of cognitive search algorithms for locating hazardous atmospheric releases. His 2017 paper on autonomous multi-robot search for a toxic source in turbulent environments (43 citations) introduced a Bayesian infotaxi algorithm that enables robot teams to efficiently locate dangerous plumes. Moran has also made significant contributions to simultaneous localisation and mapping (SLAM) using low-cost, imperfect sensors, pioneering a random finite set (RFS) approach to occupancy-grid SLAM that robustly handles false and missed detections. His work on millimeter-wave integrated radar systems (31 citations) and feature-based robot navigation using Doppler-azimuth radar (14 citations) demonstrates his commitment to developing smaller, cheaper, and more practical sensing solutions for robotic swarms. Additionally, his robust hierarchical multiple hypothesis tracker (33 citations) has advanced multi-object tracking. Moran’s research bridges theoretical innovation with real-world deployment, making him a key figure in the evolution of autonomous systems for search, mapping, and surveillance.