Flying insects are able to fly smartly in an unpredictable environment. It has been found that
flying insects have smart neurons inside their tiny brains that are sensitive to visual motion …

Insects are capable of robust visual navigation in complex environments using efficient
information extraction and processing approaches. This paper presents an implementation …

When insects are flying forward, the image of the ground sweeps backward across their
ventral viewfield and forms an" optic flow," which depends on both the groundspeed and the …

In this paper, we present a collision-free indoor navigation algorithm for teleoperated
multirotor Unmanned Aerial Vehicles (UAVs). Assuming an obstacle rich environment, the …

In our project on the autonomous guidance of Micro-Air Vehicles (MAVs) in confined indoor
and outdoor environments, we have developed a vision based autopilot, with which a …

In this paper, wide-field integration methods, which are inspired by the spatial
decompositions of wide-field patterns of optic flow in the insect visuomotor system, are …

In this article, a vision-based technique for obstacle avoidance and target identification is
combined with haptic feedback to develop a new teleoperated navigation system for …

Tomorrow's Micro-Air-Vehicles (MAVs) could be used as scouts in many civil and military
missions without any risk to human life. MAVs have to be equipped with sensors of several …

In this article, we formalize the processing of optic flow in identified fly lobula plate tangential
cells and develop a control theoretic framework that suggests how the signals of these cells …

In our ongoing project on the autonomous guidance of Micro-Air Vehicles (MAVs) in
confined indoor and outdoor environments, we have developed a bio-inspired optic flow …