MASSACHUSETTS – A research team at the Massachusetts Institute of Technology (MIT) has developed a cheap sensor-laden glove capable of identifying an object via its weight and shape with a success rate of 76 per cent.
The US team used an artificial intelligence (AI) system and compiled a dataset comprising 135,000 video frames relating to 26 objects such as a tennis ball, spoon, pen and a mug to create a rich, detailed understanding of how each object – all of which weigh less than 60 grams – feels in the hand.
It’s thought this level of understanding could enable robots to harness a deeper level of knowledge of the objects they interact with, as AI continues to be an idea tinkered with throughout the industry.
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