AIMC Topic: Spatial Navigation
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What is a cognitive map? Unravelling its mystery using robots.
Cognitive processing
Dec 11, 2018
Despite years of research into cognitive mapping, the process remains controversial and little understood. A computational theory of cognitive mapping is needed, but developing it is difficult due to the lack of a clear interpretation of the empirica...
Usability Evaluation of a Novel Robotic Power Wheelchair for Indoor and Outdoor Navigation.
Archives of physical medicine and rehabilitation
Aug 25, 2018
OBJECTIVE: To compare the Mobility Enhancement roBotic (MEBot) wheelchair's capabilities with commercial electric-powered wheelchairs (EPWs) by performing a systematic usability evaluation.
A Novel Teaching-Learning-Based Optimization with Error Correction and Cauchy Distribution for Path Planning of Unmanned Air Vehicle.
Computational intelligence and neuroscience
Aug 1, 2018
Teaching-learning-based optimization (TLBO) algorithm is a novel heuristic method which simulates the teaching-learning phenomenon of a classroom. However, in the later period of evolution of the TLBO algorithm, the lower exploitation ability and the...
Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis.
Neuron
Jun 7, 2018
Perceptions, thoughts, and actions unfold over millisecond timescales, while learned behaviors can require many days to mature. While recent experimental advances enable large-scale and long-term neural recordings with high temporal fidelity, it rema...
Vector-based navigation using grid-like representations in artificial agents.
Nature
May 9, 2018
Deep neural networks have achieved impressive successes in fields ranging from object recognition to complex games such as Go. Navigation, however, remains a substantial challenge for artificial agents, with deep neural networks trained by reinforcem...
Computational mechanisms underlying cortical responses to the affordance properties of visual scenes.
PLoS computational biology
Apr 23, 2018
Biologically inspired deep convolutional neural networks (CNNs), trained for computer vision tasks, have been found to predict cortical responses with remarkable accuracy. However, the internal operations of these models remain poorly understood, and...
A unified hierarchical oscillatory network model of head direction cells, spatially periodic cells, and place cells.
The European journal of neuroscience
Apr 16, 2018
Spatial cells in the hippocampal complex play a pivotal role in the navigation of an animal. Exact neural principles behind these spatial cell responses have not been completely unraveled yet. Here we present two models for spatial cells, namely the ...
TLBO-Based Adaptive Neurofuzzy Controller for Mobile Robot Navigation in a Strange Environment.
Computational intelligence and neuroscience
Mar 5, 2018
This work investigates the possibility of using a novel evolutionary based technique as a solution for the navigation problem of a mobile robot in a strange environment which is based on Teaching-Learning-Based Optimization. TLBO is employed to train...
A new rat-compatible robotic framework for spatial navigation behavioral experiments.
Journal of neuroscience methods
Nov 4, 2017
BACKGROUND: Understanding the neural substrate of information encoding and processing requires a precise control of the animal's behavior. Most of what has been learned from the rodent navigational system results from relatively simple tasks in which...
UAS stealth: target pursuit at constant distance using a bio-inspired motion camouflage guidance law.
Bioinspiration & biomimetics
Sep 21, 2017
The aim of this study is to derive a guidance law by which an unmanned aerial system(s) (UAS) can pursue a moving target at a constant distance, while concealing its own motion. We derive a closed-form solution for the trajectory of the UAS by imposi...
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