Scientists at the University of Oklahoma have created a machine - learning system that has enabled babies diagnosed with cerebral palsy to crawl . In a preliminary 12-week trial, the researchers observed 28 infants at risk for cerebral palsy as they practiced crawling twice a week with SIPPC (an official diagnosis for the disorder usually takes place after the age of one). The Self - Initiated Prone Progression Crawler ( SIPPC ) features a sensor - laden babygro , and a three - legged robot controlled by a machine - learning algorithm . The sensors pick - up the child 's movements and offer a " boost " to help kick - start the crawling process . The preliminary 12-week trial involving 28 infants revealed those who worked with them were able to move up to a month earlier than those who had not .
Scientists at the University of Oklahoma have created a machine - learning system that has enabled babies diagnosed with cerebral palsy to crawl . The Self - Initiated Prone Progression Crawler ( SIPPC ) features a sensor - laden babygro , and a three - legged robot controlled by a machine - learning algorithm . The sensors pick - up the child 's movements and offer a " boost " to help kick - start the crawling process . The preliminary 12-week trial involving 28 infants revealed those who worked with them were able to move up to a month earlier than those who had not .