There is a growing trend in robotics for implementing behavioural mechanisms based on
human psychology, such as the processes associated with thinking. Semantic knowledge …

One of the important topics in the study of robotic cognition is to enable robot to perceive,
plan, and react to situations in a real-world environment. We present a novel angle on this …

The simultaneous localization and mapping (SLAM) method based on the brain-space
cognitive model can improve the localization accuracy of the robot through memory. The …

This paper describes a brain-inspired simultaneous localization and mapping (SLAM)
system using oriented features from accelerated segment test and rotated binary robust …

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 …

This paper describes an improved brain-inspired simultaneous localization and mapping
(RatSLAM) that extracts visual features from saliency maps using a frequency-tuned (FT) …

Automatic object searching is one of the essential skills for domestic robots to operate in
unstructured human environments. It involves concatenation of several capabilities …

In this paper, an unsupervised learning model of episodic memory is proposed. The
proposed model, enhanced episodic memory adaptive resonance theory (EEM-ART) …

This article proposes a self-learning method of robotic experience for building episodic
cognitive map using biologically inspired episodic memory. The episodic cognitive map is …

To improve the cognitive ability of the mobile robot in an unknown environment, this paper
proposes an episodic memory based self-organizing learning (EM-SOL) framework for …