Assistant Professor
University of Texas
Roberto Martin-Martin is an Assistant Professor of Computer Science at the University of Texas in Austin. His research bridges robotics, computer vision, and machine learning, focusing on enabling robots to operate autonomously in human-centric, unstructured environments such as homes and offices. To this end, he develops advanced AI algorithms grounded in reinforcement learning, imitation learning, planning, and control, while addressing core challenges in robot perception, including pose estimation, tracking, video prediction, and scene understanding. His work spans mobile and whole-body manipulation, dexterous and contact-rich interactions, and long-horizon tasks.
He earned his Ph.D. from the Berlin Institute of Technology (TUB) under Oliver Brock, followed by postdoctoral research at the Stanford Vision and Learning Lab with Fei-Fei Li and Silvio Savarese. His contributions have been recognized with numerous honors, including the RSS Best Systems Paper Award, ICRA Best Paper Award, IROS Best Mechanism Award, Amazon Faculty Award, RSS Pioneer, AAAI Young Faculty and IJCAI Early Faculty distinctions, and as part of the winning team of the Amazon Picking Challenge. Beyond academia, he serves as Chair of the IEEE Technical Committee on Mobile Manipulation and is a co-founder of QueerInRobotics.