AI Robotic Perception System Can Recognize Objects By Touching Them
It’s a well-established fact that humans learn a lot about the world from touch. In fact, some studies show that kinesthetic learning — a learning style in which students carry out physical activities, rather than listen to a lecture or watch a demonstration — can improve outcomes for even those more strongly aligned with visual, auditory, or reading and writing learning.
Inspired by the power of touch, scientists at the University of California, Berkeley devised a perception framework for robots that relies principally on tactility as opposed to vision. Building on work published by Carnegie Mellon University researchers and others, they set out to design an AI system capable of recognizing whether a set of physical observations correspond to particular objects. READ MORE ON: VENTURE BEAT