Autonomous robots are expected to perform a wide range of sophisticated tasks in complex,
unknown environments. However, available onboard computing capabilities and algorithms …

Human behaviors are extremely sophisticated, relying on the adaptive, plastic and event-
driven network of sensory neurons. Such neuronal system analyzes multiple sensory cues …

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 …

Artificial neural networks (ANN) have attracted significant attention from researchers
because many complex problems can be solved by training them. If enough data are …

Rear-end collision prediction has gained an increasing attention for safety improvement in
smart cities. It is urgent to design efficient warning strategies for rear-end collisions which is …

Marching along the DARPA SyNAPSE roadmap, IBM unveils a trilogy of innovations towards
the TrueNorth cognitive computing system inspired by the brain's function and efficiency …

Detecting a potential collision at night is a challenging task owing to the lack of discernible
features that can be extracted from the available visual stimuli. To alert the driver or …

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

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 …

Monitoring small objects against cluttered moving backgrounds is a huge challenge to future
robotic vision systems. As a source of inspiration, insects are quite apt at searching for mates …