More examples of integrating sensors for learning. Adapting.
Intelligent Sensing Abilities for Robots to Carry Out Complex Tasks
National University of Singapore
July 15, 2020
Researchers at the National University of Singapore (NUS) have developed a sensory integrated artificial brain system that mimics biological neural networks in order to make robots smarter and more intuitive. The system features an artificial skin sensor that can identify an object's shape, texture, and hardness 10 times faster than the blink of an eye. Intel's Loihi neuromorphic research chip processes sensory data from the artificial skin. The researchers used a robotic hand equipped with the artificial skin to read Braille; tactile data was passed to the Loihi chip, which was more than 92% accurate in classifying the Braille letters. By combining both vision and touch data in a spiking neural network, the robot was able to classify objects and detect object slippage. Said NUS' Harold Soh, "[A] neuromorphic system is a promising piece of the puzzle for combining multiple sensors to improve robot perception." ... '
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