Papers
8
Total Citations
480
H-Index
7
About
David Prasser is a pioneering researcher in biologically inspired robotics, best known for his foundational work on RatSLAM, a revolutionary simultaneous localization and mapping (SLAM) system modeled on the rodent hippocampus. His major contribution lies in translating computational models of hippocampal navigation into practical algorithms that enable robots to build stable, spatially continuous representations of complex environments using only visual and odometry data. Prasser’s landmark 2004 paper, "RatSLAM: a hippocampal model for simultaneous localization and mapping," has garnered 389 citations, cementing its status as a seminal work in the field. He further advanced the paradigm through experience mapping, which produced robust environment representations for both indoor and outdoor robot experiments. Prasser also developed modified particle filters and probabilistic visual landmark recognition techniques, enhancing SLAM’s accuracy and uncertainty management. His work on efficient goal-directed navigation and long-term robot operation via the internet demonstrated the practical durability of RatSLAM in real-world settings. With over 480 total citations across his most-cited papers, Prasser’s contributions have profoundly influenced the intersection of neuroscience and robotics, inspiring a generation of researchers to explore bio-inspired approaches to autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1RatSLAM: a hippocampal model for simultaneous localization and mapping389 citations · 2004
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- 5Simultaneous localisation and mapping from natural landmarks using RatSLAM14 citations · 2004
- 6Efficient Goal Directed Navigation using RatSLAM14 citations · 2006
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- 8Framework for the long-term operation of a mobile robot via the internet2 citations · 2005