Christian Leibold. A Model for Navigation in Unknown Environments Based on a Reservoir of Hippocampal Sequences.
bioRxiv 2019.12.18.880583; doi: https://doi.org/10.1101/2019.12.18.880583
Abstract
“Hippocampal place cell populations are activated in sequences on multiple time scales during active behavior, resting and sleep …
Alexander Jones, Andrew Rush, Cory Merkel, Eric Herrmann, Ajey P. Jacob, Clare Thiem, Rashmi Jha. A neuromorphic SLAM architecture using gated-memristive synapses. Neurocomputing, 2019, https://doi.org/10.1016/j.neucom.2019.09.098.
Abstract
“Navigation in GPS-denied environments is a critical challenge for autonomous mobile platforms …
Widloski, John, and Ila Fiete. “How does the brain solve the computational problems of spatial navigation?.” In Space, Time and Memory in the Hippocampal Formation, pp. 373-407. Springer, Vienna, 2014.
Abstract
Flexible navigation in the real world involves …
The excerpt note is some relevant references about 2.5D SLAM inspired by the brain, which is expanded from the RatSLAM system.
Guth F. A. et. al. present an Hippo 3D (DolphinSLAM), expanded from the RatSLAM system, which was initially designed …
Real-world applications in GPS-denied environments require robust mapping and perception techniques to enable mobile systems to autonomously navigate complex 3D environments.
Robotic environments are in general 3D, involving translation in three directions, x, y, and z, and rotation around three …
This excerpt note is about loop closure (map correction) in RatSLAM from Michael et al., 2008 and Michael 2008 book.
Michael Milford, and Gordon F. Wyeth. “Mapping a Suburb with a Single Camera using a Biologically Inspired SLAM System…
Simultaneous localization and mapping (SLAM) consists in the concurrent construction of a model of the environment (the map), and the estimation of the state of the robot moving within it. The SLAM community has made astonishing progress over the last …
Brain Inspired Navigation Blog
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