A Georgia Tech research group in the School of Interactive Computing has developed a robotics system that exceeds existing standards for collaborative bots that work independently to achieve a shared goal.
Humans aren't experts at everything, but they'd still like their robot assistants to perform better than they can. This novel training method does just that.
Yang’s research, which is being led by her Ph.D. student Jiaao Chen, aims to alleviate dependence of supervised models on labeled data via data augmentation approaches.
Eighteen members of the Georgia Tech community contributed to eight papers that will be presented virtually at AAAI 2021, while two longtime contributors will join the ranks of the prestigious AAAI Fellows program.
Researchers at Georgia Tech, in collaboration with UCLA and the University of Southern California, are working to develop a new class of locomotion systems that could enable buoyancy-assisted robots to become a larger part of our daily lives.