Bioinspired intelligent algorithm and its applications for mobile robot control: a survey

J Ni, L Wu, X Fan, SX Yang - Computational intelligence and …, 2016 - Wiley Online Library
Bioinspired intelligent algorithm (BIA) is a kind of intelligent computing method, which is with
a more lifelike biological working mechanism than other types. BIAs have made significant …

[HTML][HTML] Computational cognitive models of spatial memory in navigation space: A review

T Madl, K Chen, D Montaldi, R Trappl - Neural Networks, 2015 - Elsevier
Spatial memory refers to the part of the memory system that encodes, stores, recognizes and
recalls spatial information about the environment and the agent's orientation within it. Such …

Persistent navigation and map** using a biologically inspired SLAM system

M Milford, G Wyeth - The International Journal of Robotics …, 2010 - journals.sagepub.com
The challenge of persistent navigation and map** is to develop an autonomous robot
system that can simultaneously localize, map and navigate over the lifetime of the robot with …

NeuroSLAM: A brain-inspired SLAM system for 3D environments

F Yu, J Shang, Y Hu, M Milford - Biological cybernetics, 2019 - Springer
Roboticists have long drawn inspiration from nature to develop navigation and simultaneous
localization and map** (SLAM) systems such as RatSLAM. Animals such as birds and …

[HTML][HTML] Space and memory (far) beyond the hippocampus: many subcortical structures also support cognitive map** and mnemonic processing

SM O'Mara, JP Aggleton - Frontiers in neural circuits, 2019 - frontiersin.org
Memory research remains focused on just a few brain structures–in particular, the
hippocampal formation (the hippocampus and entorhinal cortex). Three key discoveries …

Pose estimation and map formation with spiking neural networks: towards neuromorphic slam

R Kreiser, A Renner, Y Sandamirskaya… - 2018 IEEE/RSJ …, 2018 - ieeexplore.ieee.org
In this paper, we investigate the use of ultra low-power, mixed signal analog/digital
neuromorphic hardware for implementation of biologically inspired neuronal path integration …

NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation

T Zeng, F Tang, D Ji, B Si - Neural Networks, 2020 - Elsevier
Spatial navigation depends on the combination of multiple sensory cues from idiothetic and
allothetic sources. The computational mechanisms of mammalian brains in integrating …

An on-chip spiking neural network for estimation of the head pose of the iCub robot

R Kreiser, A Renner, VRC Leite, B Serhan… - Frontiers in …, 2020 - frontiersin.org
In this work, we present a neuromorphic architecture for head pose estimation and scene
representation for the humanoid iCub robot. The spiking neuronal network is fully realized in …

A biologically inspired meta-control navigation system for the psikharpax rat robot

K Caluwaerts, M Staffa, S N'Guyen… - Bioinspiration & …, 2012 - iopscience.iop.org
A biologically inspired navigation system for the mobile rat-like robot named Psikharpax is
presented, allowing for self-localization and autonomous navigation in an initially unknown …

A computational model for spatial navigation based on reference frames in the hippocampus, retrosplenial cortex, and posterior parietal cortex

T Oess, JL Krichmar, F Röhrbein - Frontiers in neurorobotics, 2017 - frontiersin.org
Behavioral studies for humans, monkeys, and rats have shown that, while traversing an
environment, these mammals tend to use different frames of reference and frequently switch …