It is a research group under the Stanford Vision & Learning Lab that focuses on developing methods and mechanisms for generalizable robot perception and control.
We work on challenging open problems at the intersection of computer vision, machine learning, and robotics. We develop algorithms and systems that unify in reinforcement learning, control theoretic modeling, and 2D/3D visual scene understanding to teach robots to perceive and to interact with the physical world.
Protected UsefulChem Project This is an open source science project in chemistry led by the Bradley Laboratory at Drexel University. Since all laboratory experimental results are made public, we refer to this work as Open Notebook Science as well. Cli