AIMC Topic: Spatial Navigation
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Human interaction with robotic systems: performance and workload evaluations.
Ergonomics
Jul 26, 2017
We first tested the effect of differing tactile informational forms (i.e. directional cues vs. static cues vs. dynamic cues) on objective performance and perceived workload in a collaborative human-robot task. A second experiment evaluated the influe...
Controlling robots in the home: Factors that affect the performance of novice robot operators.
Applied ergonomics
Jun 6, 2017
For robots to successfully integrate into everyday life, it is important that they can be effectively controlled by laypeople. However, the task of manually controlling mobile robots can be challenging due to demanding cognitive and sensorimotor requ...
Learning to Predict Consequences as a Method of Knowledge Transfer in Reinforcement Learning.
IEEE transactions on neural networks and learning systems
Apr 17, 2017
The reinforcement learning (RL) paradigm allows agents to solve tasks through trial-and-error learning. To be capable of efficient, long-term learning, RL agents should be able to apply knowledge gained in the past to new tasks they may encounter in ...
Cognitive memory and mapping in a brain-like system for robotic navigation.
Neural networks : the official journal of the International Neural Network Society
Dec 7, 2016
Electrophysiological studies in animals may provide a great insight into developing brain-like models of spatial cognition for robots. These studies suggest that the spatial ability of animals requires proper functioning of the hippocampus and the en...
Demixed principal component analysis of neural population data.
eLife
Apr 12, 2016
Neurons in higher cortical areas, such as the prefrontal cortex, are often tuned to a variety of sensory and motor variables, and are therefore said to display mixed selectivity. This complexity of single neuron responses can obscure what information...
The Study of Intelligent Vehicle Navigation Path Based on Behavior Coordination of Particle Swarm.
Computational intelligence and neuroscience
Jan 12, 2016
In the behavior dynamics model, behavior competition leads to the shock problem of the intelligent vehicle navigation path, because of the simultaneous occurrence of the time-variant target behavior and obstacle avoidance behavior. Considering the sa...
A Fuzzy Integral Ensemble Method in Visual P300 Brain-Computer Interface.
Computational intelligence and neuroscience
Dec 24, 2015
We evaluate the possibility of application of combination of classifiers using fuzzy measures and integrals to Brain-Computer Interface (BCI) based on electroencephalography. In particular, we present an ensemble method that can be applied to a varie...
Goal-oriented robot navigation learning using a multi-scale space representation.
Neural networks : the official journal of the International Neural Network Society
Oct 19, 2015
There has been extensive research in recent years on the multi-scale nature of hippocampal place cells and entorhinal grid cells encoding which led to many speculations on their role in spatial cognition. In this paper we focus on the multi-scale nat...
A GPU-accelerated cortical neural network model for visually guided robot navigation.
Neural networks : the official journal of the International Neural Network Society
Oct 9, 2015
Humans and other terrestrial animals use vision to traverse novel cluttered environments with apparent ease. On one hand, although much is known about the behavioral dynamics of steering in humans, it remains unclear how relevant perceptual variables...
Slithering towards autonomy: a self-contained soft robotic snake platform with integrated curvature sensing.
Bioinspiration & biomimetics
Sep 3, 2015
Soft robotic snakes promise significant advantages in achieving traveling curvature waves with a reduced number of active segments as well as allowing for safe and adaptive interaction with the environment and human users. However, current soft robot...
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