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 …

Accurately detecting a potential collision and triggering a timely escape response is critical
in the field of robotics and autonomous vehicle safety. The lobula giant movement detector …

Motion perception is a critical capability determining a variety of aspects of insects' life,
including avoiding predators, foraging, and so forth. A good number of motion detectors …

Abstract Distributed Adaptive Control (DAC) is a theory of the design principles underlying
the Mind, Brain, Body Nexus (MBBN) that has been developed over the last 20 years. DAC …

In this paper, we present a new bio-inspired vision system embedded for micro-robots. The
vision system takes inspiration from locusts in detecting fast approaching objects …

Building an efficient and reliable collision perception visual system is a challenging problem
for future robots and autonomous vehicles. The biological visual neural networks, which …

Motion perception is an essential ability for animals and artificially intelligent systems
interacting effectively, safely with surrounding objects and environments. Biological visual …

Shaping the collision selectivity in vision-based artificial collision-detecting systems is still an
open challenge. This paper presents a novel neuron model of a locust looming detector, ie …

Accurate and timely perception of collision in highly variable environments is still a
challenging problem for artificial visual systems. As a source of inspiration, the lobula giant …

Vision is one of the most important sensing modalities for robots and has been realized on
mostly large platforms. However for micro robots which are commonly utilized in swarm …