Ratslam pdf

Animals such as birds and bats possess superlative navigation capabilities, robustly navigating over large, three-dimensional environments, leveraging an internal neural representation of space combined with external sensory cues and self-motion cues. View on Springer. Save to Library Save. Create Alert Alert. Share This Paper. Methods Citations. Figures, Tables, and Topics from this paper. Simultaneous localization and mapping Artificial neural network Inspiration function Computational model Algorithm Graphical user interface Map Chiroptera Name Linear programming relaxation Synthetic intelligence.

Citation Type. Has PDF. Publication Type. More Filters. View 1 excerpt, cites background. A brain-inspired localization system for the UAV based on navigation cells. Aircraft Engineering and Aerospace Technology.

View 2 excerpts, cites methods and background. View 2 excerpts, cites background. Robotics Auton. View 1 excerpt, cites background. GNM: GridCell navigational model. Expert Syst. We describe recent biologically-inspired mapping research incorporating brain-based multi-sensor fusion and calibration processes and a new multi-scale, homogeneous mapping framework.

We also review … Expand. A model of navigation inspired by rodent hippocampus stores several navigational maps in a single attractor Hopfield-like neural network. Hippocampus is a part of brain involved in spatial … Expand. Biologically inspired visual landmark processing for simultaneous localization and mapping. Towards combining a neocortex model with entorhinal grid cells for mobile robot localization. Hippocampal models for simultaneous localisation and mapping on an autonomous robot.

The most successful solutions to this problem so far have involved … Expand. View 1 excerpt, references background. Mathematics, Computer Science. View 2 excerpts, references methods and background. Computer Science, Engineering. View 1 excerpt, references methods. RatSLAM: a hippocampal model for simultaneous localization and mapping.

ICRA ' Visual topological SLAM and global localization. Application of Locality Sensitive Hashing to realtime loop closure detection.

View 2 excerpts, references methods. View 1 excerpt, references background. Related Papers.