University of Utah Robotics Center

We are excited to announce that Dr. Daniel Brown has joined the Robotics Center and the School of Computing at The University of Utah as an Assistant Professor!

He joins after completing a postdoc at UC Berkeley. He received his Ph.D. in Computer Science from UT Austin in 2020. His research focuses on helping robots to safely and efficiently interact with and learn from humans. In particular, he is interested imitation learning, preference learning, and human-in-the-loop reinforcement learning and has worked on applications in manipulation, autonomous driving, multi-robot swarming, and assistive robotics.

Website link: https://www.cs.utah.edu/~dsbrown/

Five papers by The University of Utah University of Utah Robotics Center researchers and collaborators were presented at the 2022 Hamlyn Symposium on Medical Robotics in London this year, from Profs Alan K***z and Jake Abbott's labs.

UofU Robotics Center researchers Griffin Tabor and Lan Pham presenting their work on Adaptive Eddy Current Manipulation at Robotics Science and Systems 2022. Check out their paper and video at https://sites.google.com/gcloud.utah.edu/adaptiveeddycurrent

University of Utah Robotics Center researchers, led by Profs Abbott and Hermans, recently published exciting work in Nature on magnetic manipulation of nonmagnetic objects with applications in cleaning up space debris.
https://nature.com/articles/d41586-021-02771-5
Paper:https://rdcu.be/czSK5

Dexterous magnetic manipulation of conductive non-magnetic objects - Nature Time-varying magnetic fields can be used to manipulate the position and orientation of conductive non-magnetic objects.

We had a great showing at this year with current and incoming students, postdocs, and faculty, many of which are shown here!