Everyday skills, such as making your bed or even pressing a doorbell, might seem trivial to us, but are actually quite complicated for today’s robots. Think about your performance the first time you tried a sport. Did you seek help from a peer or coach? Did you perform better after that? Most probably you answered yes. It … Continue reading Robust Skill Generalization Using Probabilistic Inference
Karen Liu of School of Interactive Computing was awarded the Google Faculty Research Award for 2017. Her project is entitled “Closing the “Reality Gap”: A Machine Learning Approach to Contact Modeling” and aims to accurately compute contact states (sticking, sliding, or breaking) and contact forces such that the simulated results match the real world phenomena. … Continue reading Karen Liu (IC) awarded the Google Research Award for 2017.
As part of the ML@GT/IRIM Seminar Series, here is the next very interesting talk by our very own, Magnus Egerstedt, Executive Director of IRIM. (Link) Date: Wednesday, February 8, 2016 Speaker: Magnus Egerstedt (Executive Director, IRIM) Title: “Persistent Environmental Monitoring: Robots that Seemingly Do Nothing Most of the Time” Location: Marcus Nanotechnology Building • Rooms … Continue reading Robotics Seminar by Magnus Egerstedt on “Persistent Environmental Monitoring: Robots that Seemingly Do Nothing Most of the Time”
Please join us in congratulating our very own, Professor Frank Dellaert for this amazing and very well deserved honor. Source: Paper Recognized for Enduring Contributions to Robotics | College of Computing Frank Dellaert, a professor in the Georgia Institute of Technology’s College of Computing, will receive the Association for the Advancement of Artificial Intelligence (AAAI) … Continue reading Paper Recognized for Enduring Contributions to Robotics, Machine Learning, and Computing