Jeffrey Forrester
Papers
2
Total Citations
20
H-Index
2
About
Dr. Jeffrey Forrester is a pioneering figure in robotic underwater archaeology, specializing in the autonomous mapping and 3D reconstruction of submerged historical structures. His research uniquely fuses simultaneous localization and mapping (SLAM) with sonar data processing, enabling robots to navigate and document confined, dark underwater environments without relying on odometry or motion models. Forrester’s major contributions include developing a novel, two-step offline SLAM method that uses only a 2D scanning sonar, compass, and depth sensor to create accurate 2D maps and visualizations of ancient water storage systems. His landmark work on the surface reconstruction of Maltese cisterns using ROV sonar data—cited over 20 times collectively—demonstrates a groundbreaking approach to non-invasive archaeological study. By fusing stationary scans within a particle filter framework, Forrester solved the challenge of mapping featureless, enclosed spaces, providing archaeologists with unprecedented access to submerged heritage sites. His achievements represent a significant leap in autonomous underwater vehicle (AUV) capability, directly impacting both robotics and cultural heritage preservation.
Research Focus
Key Achievements
Top Papers
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