Department of Electrical Engineering and Computer Sciences
University of California, Berkeley/Paul G. Allen School of Computer Science & Engineering, College of Engineering, University of Washington
Sergey uses deep learning to create neural network controllers for animated characters and robots. He is developing algorithms to allow robots and simulated characters to autonomously learn new behaviors and mimic human flexibility. Applications of his work include robotic manipulation, educational games, and character animation.
He has been awarded graduate fellowships from NVIDIA and the National Science Foundation, and received the Best Robotic Manipulation Award at IEEE for his work on learning controllers for complex manipulation tasks.