Dr. Roberto Martin Martin

Biography

Roberto Martin-Martin explores the intersection of robotics, computer vision, and machine learning. His research integrates physical optimal interactions in environments as part of novel perception learning procedures, providing robots with new versatile and robust skills necessary to perform tasks in unstructured environments like homes. Previously, he worked as a Postdoctoral scholar at Stanford Vision Learning Lab alongside Fei-Fei Li and Silvio Savarese. Martin-Martin received his Ph.D. in Robotics from Technische Universität Berlin (TUB) under Professor Oliver Brock, and his B.Sc. in Computer Science from Universidad Politécnica de Madrid. He is enthusiastic about robotics, aiming to create machines that can perceive their environment, acquire task-relevant information, and plan courses of action for desired configurations in new environments, executing plans in a safe and robust manner, even in the presence of uncertainty and noisy actuation. His research has practical applications in developing solutions for simple skills such as pick-and-place and door opening, as well as more complex tasks like cooking, assembling furniture, and addressing mobile manipulation problems that combine manipulation.

Research Interests