Biological organisms learn from interactions with their environment throughout their lifetime.
For artificial systems to successfully act and adapt in the real world, it is desirable to similarly …

In 2007, Cheng and colleagues published their influential review wherein they analyzed the
literature on spatial cue interaction during navigation through a Bayesian lens, and …

In this paper, a brain-like navigation scheme based on fuzzy kernel C-means (FKCM)
clustering assisted pyramid Lucas Kanade (LK) optical flow algorithm is developed to …

Brain-inspired navigation technologies combine environmental perception, spatial cognition,
and target navigation to create a comprehensive navigation research system. Researchers …

As a vital cognitive function of animals, the navigation skill is first built on the accurate
perception of the directional heading in the environment. Head direction cells (HDCs), found …

To derive meaningful navigation strategies, animals have to estimate their directional
headings in the environment. Accordingly, this function is achieved by the head direction …

Estimating depth, ego-motion, and optical flow from consecutive frames is a critical task in
robot navigation and has received significant attention in recent years. In this study, we …

Gls UUV is an intelligent underwater platform that can operate autonomously. However, it is
difficult for unmanned underwater vehicle (UUV) to make correct decisions timely and …

In many simultaneous localization and mapping (SLAM) systems, the map of the
environment grows over time as the robot explores the environment. The ever-growing map …

The geometric information of space, such as environment boundaries, is represented
heterogeneously across brain regions. The computational mechanisms of encoding the …