Deep Learning for Robotics

Catalog description

Deep learning has become a pivotal force in recent robotics research advancements, from estimating the state of the world to solving complex long-horizon tasks. The new paradigm shifts from traditional feature and model engineering to learning task-relevant representations from raw data. This is fueled by increasingly more affordable hardware and diverse data sources from which algorithms may learn from. This graduate-level course examines how deep learning approaches have been applied to robotics problems, including various topics of robot perception and control. We will also discuss the recent trend of large-scale representation learning and foundation models for robotics.