Damien LaRocque
Papers
3
Total Citations
34
H-Index
3
About
Damien LaRocque is a field robotics researcher specializing in autonomous navigation in extreme, unstructured environments—specifically the boreal forests and subarctic regions that push robotic systems to their limits. His work addresses the fundamental challenges of off-road autonomy where GNSS signals fail, feature contrast is low, and illumination varies wildly. LaRocque’s major contributions include identifying and systematically analyzing the unique obstacles of wintertime forest navigation, from snow-covered terrain to rapidly changing environments, as detailed in his most-cited paper, “Kilometer-Scale Autonomous Navigation in Subarctic Forests” (24 citations). He has also advanced the science of ground truth validation through rigorous uncertainty analysis of robotic total stations (6 citations), providing the high-accuracy reference trajectories essential for SLAM development. Most recently, his work “Proprioception Is All You Need” (4 citations) introduces a novel terrain classification approach for boreal forests that relies solely on internal robot sensing, eliminating dependence on external perception. By tackling one of Earth’s largest and most challenging biomes, LaRocque is helping define the path toward resilient, perception-agnostic field robotics.
Research Focus
Key Achievements
Top Papers
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