Episodes in Space: A Modeling Study of Hippocampal Place Representation
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
The implementation of a novel, bio-inspired, robotic security system
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Hybrid robot control and SLAM for persistent navigation and mapping
Robotics and Autonomous Systems
OpenRatSLAM: an open source brain-based SLAM system
Autonomous Robots
Vision-based place recognition: how low can you go?
International Journal of Robotics Research
Hi-index | 0.00 |
This book describes the development of a robot mapping and navigation system inspired by models of the neural mechanisms underlying spatial navigation in the rodent hippocampus. Computational models of animal navigation systems have traditionally had limited performance when implemented on robots. The aim of the work was to determine the extent to which hippocampal models can be used to provide a robot with functional mapping and navigation capabilities in real world environments. The focus of the research was on achieving practical robot performance, rather than maintaining biological plausibility.