Visual odometry (VO) is a prevalent way to deal with the relative localization problem, which
is becoming increasingly mature and accurate, but it tends to be fragile under challenging …

Neuromorphic electronics have great potential in the emulation of the sensory, cognitive, self-
learning, and actuating functions of robots. While typically implemented in rigid silicon …

Visual navigation (vNavigation) is a key and fundamental technology for artificial agents'
interaction with the environment to achieve advanced behaviors. Visual navigation for …

Roboticists have long drawn inspiration from nature to develop navigation and simultaneous
localization and mapping (SLAM) systems such as RatSLAM. Animals such as birds and …

Modelling functionalities of the brain in human-robot interaction contexts requires a real-time
understanding of how each part of a robot (motors, sensors, emotions, etc.) works and how …

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 …

Spatial navigation depends on the combination of multiple sensory cues from idiothetic and
allothetic sources. The computational mechanisms of mammalian brains in integrating …

In building artificial intelligence (AI) agents, referring to how brains function in real
environments can accelerate development by reducing the design space. In this study, we …

Abstract Hierarchical Reinforcement Learning (HRL) has shown superior performance for
mapless navigation tasks. However, it remains limited in unstructured environments that …

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 …