Tyler Lum

My research focuses on developing the most effective ways to integrate learning-based perception and control for robots, and studying the inductive biases we can exploit to improve the efficiency and reliability of these systems. To that end, I am interested in studying contact-rich grasping and manipulation tasks that require reasoning through uncertainty and quickly adapting to new environmental conditions.