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About

Gavin Catt is a field robotics researcher whose work sits at the intersection of autonomous navigation, simultaneous localization and mapping (SLAM), and multi-robot systems, with a particular focus on challenging and extreme environments. His most influential contributions have emerged from his involvement with Team CSIRO Data61 in the DARPA Subterranean Challenge, a landmark competition pushing the boundaries of robotic exploration in underground settings such as tunnels, caves, and urban subsurface infrastructure. His survey on SLAM in extreme environments has garnered 176 citations, establishing it as a key reference for the robotics community, while his work detailing Team CSIRO Data61's heterogeneous robot approach — which tied for the top score in the final competition — highlights his expertise in coordinating ground and aerial platforms under unified perception and autonomy frameworks. Earlier contributions include a 3D LiDAR-based autonomous ground vehicle navigation system and the PoseMap lifelong localization framework, together accumulating over 130 citations and demonstrating sustained innovation in GPS-denied navigation. Catt has also extended LiDAR applications to subsea surveying, reflecting a broader commitment to deploying robotic sensing in frontier environments. His body of work makes him a valuable contributor to the growing field of resilient, real-world autonomous robotics.