Matthew conducts transdisciplinary research into environmental robotics focusing on advanced perception-to-action solutions with application to large-scale management and monitoring of challenges. His wide research interests include vision-based perception and classification, vision-based navigation, adaptive sampling and path planning, and cooperative robotics. Through application to large-scale marine habitat restoration, marine pest identification and control, conservation, greenhouse gas mapping and utility compliance monitoring, his research has received numerous national and international R&D and engineering awards.