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 …

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 …

Biological principles draw attention to service robotics because of similar concepts when
robots operate various tasks. Bioinspired perception is significant for robotic perception …

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 …

To navigate in new environments, an animal must be able to keep track of its position while
simultaneously creating and updating an internal map of features in the environment, a …

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

Traditional visual navigation methods of micro aerial vehicle (MAV) usually calculate a
passable path that satisfies the constraints depending on a prior map. However, these …

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 …

Unmanned aerial vehicles (UAVs) have played an important role in recent high-tech local
wars. Seizing air control rights with UAVs will undoubtedly be a popular topic in future …

How to transform a mixed flow of sensory and motor information into memory state of self-
location and to build map representations of the environment are central questions in the …