Chris Roman

Woods Hole Oceanographic Institution, University of Rhode Island

Papers

Total Citations

190

H-Index

About

Chris Roman is a leading figure in underwater robotics and autonomous vehicle navigation, with a career focused on advancing how robots explore and map the most inaccessible environments on Earth—from the deep ocean to the ice-covered Arctic. His foundational work, "A Self‐Consistent Bathymetric Mapping Algorithm" (2007, 106 citations), introduced a transformative algorithm that corrects for navigation drift in deep-sea sonar mapping, dramatically improving the accuracy of seafloor maps generated by robotic systems. Roman’s contributions extend to extreme polar exploration, where he led the design and deployment of the Jaguar and Puma autonomous underwater vehicles (AUVs) under Arctic ice at 85°N latitude, as detailed in his 2009 paper (61 citations)—a pioneering effort that marked the first successful deployment and recovery of AUVs in that harsh environment. He has also innovated in diffuse vent detection using structured light imaging (2013) and developed terrain-based particle filters for localizing drifting Lagrangian floats (2019). With over 190 citations across his key works, Roman’s research directly enables safer, more precise underwater exploration, bridging the gap between robotic autonomy and real-world oceanographic discovery.