Papers
5
Total Citations
136
H-Index
5
About
Thomas Hines is a leading robotics researcher whose work centers on autonomous navigation, multi-robot systems, and perception for extreme environments. He is best known for his pivotal contributions to the DARPA Subterranean Challenge, where he helped Team CSIRO Data61 achieve a top score. Hines’ research focuses on enabling heterogeneous teams of ground and aerial robots to collaboratively explore dangerous, unstructured subterranean spaces—such as tunnels and underground urban infrastructure—by balancing autonomy with human oversight. His most cited paper (97 citations) details this approach, while his work on GPU-based occupancy map generation (17 citations) addresses the computational bottleneck of processing modern 3D lidar data for real-time navigation. Hines also developed novel methods for navigating negative obstacles and aggressive terrain, incorporating terrain slope and vehicle orientation awareness. His achievements include advancing the state of the art in unified perception and autonomy for heterogeneous robot teams, with direct applications in search-and-rescue, mining, and defense. Hines’ research has garnered significant attention, demonstrating its impact on the future of autonomous exploration in the world’s most challenging environments.
Research Focus
Key Achievements
Top Papers
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- 2OHM: GPU Based Occupancy Map Generation17 citations · 2022
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