Dr. Roberto Martin-Martin explores the intersection of robotics, computer vision, and machine learning. In his research, he integrates physical and optimal interactions with the environment as part of novel perception and learning procedures. This provides robots new versatile and robust skills to perform tasks in human unstructured environments like homes. He worked as Postdoctoral scholar at the Stanford Vision and Learning Lab with Fei-Fei Li and Silvio Savarese. Dr. Martin-Martin received his Ph.D. and master's degree from Technische Universität Berlin (TUB) working with Professor Oliver Brock, and his BSc. degree from Universidad Politécnica de Madrid.