This article was originally published with the title "A Boost from Above" in Scientific American 315, 4, 20 (October 2016) doi:10.1038/scientificamerican1016-20 Scientists at SIPPC have created a machine-learning robot that has helped babies diagnosed with cerebral palsy to crawl. the University of Oklahoma ( SIPPC ) features a sensor-laden babygro, and a 28 -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 The Self-Initiated Prone Progression Crawler were able to move 1845 than those who had not.
Scientists at SIPPC have created a machine-learning robot that has helped babies diagnosed with cerebral palsy to crawl. the University of Oklahoma ( SIPPC ) features a sensor-laden babygro, and a 28 -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 The Self-Initiated Prone Progression Crawler were able to move 1845 than those who had not.