The way insects see and track their prey is being applied to a new robot under development at the University of Adelaide, in the hopes of improving robot visual systems.
"Detecting and tracking small objects against complex backgrounds is a highly challenging task," says the lead author of the paper, Mechanical Engineering PhD student Zahra Bagheri.
The team of engineers and neuroscientists has developed an unusual algorithm to help emulate this visual tracking. "Instead of just trying to keep the target perfectly centred on its field of view, our system locks on to the background and lets the target move against it," Ms Bagheri says. "This reduces distractions from the background and gives time for underlying brain-like motion processing to work. It then makes small movements of its gaze and rotates towards the target to keep the target roughly frontal."
This bio-inspired "active vision" system has been tested in virtual reality worlds composed of various natural scenes. The Adelaide team has found that it performs just as robustly as the state-of-the-art engineering target tracking algorithms, while running up to 20 times faster.
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from electronic for robot http://ift.tt/1HU1lzr
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