This review describes a number of biologically inspired principles that have been applied to
the visual guidance, navigation and control of Unmanned Aerial System (UAS). The current …

Insects are able to navigate reliably between food and nest using only visual information.
This behavior has inspired many models of visual landmark guidance, some of which have …

This paper presents a novel visual navigation strategy applied to real-time guidance and
control of autonomous rotorcraft in outdoor environments. The proposed approach acquires …

For the last decade, we have been developing a vision-based architecture for mobile robot
navigation. Using our bio-inspired model of navigation, robots can perform sensory-motor …

This paper describes a novel view-based method using panoramic images to perform local
homing in outdoor environments. This holistic algorithm makes uses of difference images (in …

Several methods can be used for a robot to return to a previously visited position. In our
approach we use the average landmark vector method to calculate a homing vector which …

In the context of autonomous navigation, vision has demonstrated its potential in replacing
bulkier sensors and achieving multi-tasking, operating as the primary sensor for guidance as …

This paper presents a bio-inspired homing strategy applied to the guidance of rotorcraft
unmanned aerial systems (UAS). In this approach, a sequence of panoramic snapshots is …

It is well documented that within Virtual Environments performance in cognitive tasks is
diminished, and with the continued use of such environments to train people in various …

Novel theories have recently been proposed to try to explain higher cognitive functions as
internal representations of action and perception of an embodied autonomous agent in a …