Graduate Student Researcher
Alex Lee's research interests are at the intersection of perception, control and machine learning, with problems motivated by autonomous control of vehicles. His recent work has been on learning features and dynamics that are suitable for visual servoing, by training a deep neural network model to predict future frames from the robot's camera. This model is not only applicable for visual servoing, but also for other control, planning and reinforcement learning problems. This problem is motivated by autonomous quadcopter flight and autonomous driving with applications to semantic tracking and navigation in complex environments.
Alex Lee received a Bachelor of Science degree in Electrical Engineering and Computer Sciences (EECS) (2013) from the University of California, Berkeley. He is currently pursuing his Ph.D. in the Department of Computer Science at the same university, in Professor Pieter Abbeel's group and the Berkeley Artificial Intelligence Research (BAIR) Lab. Alex's research interests are at the intersection of perception, control and machine learning, with problems motivated by autonomous control of vehicles.