Tech Designed to Help Assistive Robots Work More Closely with Patients

Artificially intelligent (AI) systems are continuously improving their understanding of physical human activities such as running, jumping, and biking. Yet, much of people’s lives are spent resting in bed.  Researchers at the Georgia Institute of Technology and Stanford University have developed an AI-enabled smart bed and synthetic data set to study people at rest. The… Continue reading Tech Designed to Help Assistive Robots Work More Closely with Patients

ML@GT to Present Diverse Research Interests at CVPR 2020

For computer vision fans, the Computer Vision and Pattern Recognition (CVPR) conference is a significant annual event, regularly drawing thousands of attendees and paper submissions. The  Georgia Institute of Technology had nine papers by 33 authors accepted in the conference, taking place online this year starting June 14. Accepted papers covered a wide range of… Continue reading ML@GT to Present Diverse Research Interests at CVPR 2020

ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging

By Samarth Brahmbhatt and Charlie Kemp Paper (CVPR 2019 oral) | bib | Explore ContactdB Paper by Samarth Brahmbhatt, Cusuh Ham, Charlie Kemp, and James Hays Georgia Institute of Technology Many times a day, people effortlessly grasp objects, yet human grasping is a complex phenomenon that has proven challenging to emulate and analyze. If robots… Continue reading ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging