Robotics, Computer Vision, and Graphics Centers & Labs

Focuses on both machine and biological learning including reinforcement learning, safe machine learning, and biologically inspired machine learning.

Does research in robotics to continually make robots more autonomous, accurate, robust, and efficient, in real-world unstructured environments.

One of the leading research groups working in the areas of information retrieval and information extraction.

Focuses on modeling of the real world, and simulation of physically based illumination phenomena.

Investigating the scientific principles underlying the construction of integrated vision systems and the application of vision to real-world problems. 

Aims to make robots that are practical tools for human life by advancing the systems faster, smarter, and robustly.

Dedicated to cutting-edge research on lifelong collaborative autonomy, with the goal of enabling robots to operate and adapt over long periods of time.

Investigates planning and control methodologies for complex, multi-objective robotic systems,

Focuses on developing new algorithms and techniques in computer graphics and visual computing.