Teaching:

Talks and Events:

  • [Up to date events and talk on RobIN lab’s website]
  • Simulation-Based Data Generation: Bridging the Gap to the Real World, RSS 2024 workshop on “Data Generation for Robotics”, July 2024
  • Language as Bridge between Simulation and the Real World, ICRA24 workshop Vision-Language Models for Navigation and Manipulation (VLMNM), May 2024
  • Learning to control contact-rich interactions, UT Center for Non-Linear Dynamics, February 2024
  • Mobile Manipulation: Towards Truly Autonomous Service Robots, KAIST Remote Lecture, December 2023
  • Technologies for Household Robotics, Texas Robotics Symposium, October 2023
  • Launching event for Queer in Robotics at IROS’23, October 2023
  • Perceiving to Interact, Interacting to Perceive, IROS’23 workshop on Integrated Perception, Planning, and Control for Physically and Contextually-Aware Robot Autonomy, October 2023
  • Probabilistic Modeling, MOOC course Essentials of AI for Life and Society, September 2023
  • Learning Contact-rich Interaction Control, RSS’23 workshop on Robotics and AI: The Future of Industrial Assembly Tasks, July 2023
  • What can robots learn from videos about long-horizon activities?, UT Austin Computer Vision Group (Prof. Grauman), April 2023
  • Mobile Manipulation: Integration vs. Factorization, TEROS’23. April 2023
  • RobIN: A Quest for Intelligence at GradFest’23. This presentation summarizes some of the core ideas of our lab and broad future research directions.
  • Talk at the Texas Innovation Center’s Engineering Education and Research Center. More info. Feb 8, 2023
  • Datasets in Robotics at the Living and Working with Robots initiative, part of the Good Systems Challenge, Jan 25, 2023
  • Studying Physically Interactive Intelligence by Benchmarking Household Activities. Invited talk at the Texas Robotics Portfolio Seminar, Sept. 27, 2022
  • RobIN: The Robotic Interactive Intelligence Lab. Invited talk at CS398T: Supervised Teaching in Computer Science, 9/20/22
  • Applications of Virtualizing and Simulating Real People for Embodied AI. Invited talk at the Stanford Metaverse Workshop of the 2022 HAI Spring Conference on Key Advances in Artificial Intelligence, 4/12/22

Curriculum Vitae:

Bio (for talks):


Roberto Martín-Martín is an Assistant Professor of Computer Science at the University of Texas at Austin, where he directs the Robot Interactive Intelligence (RobIn) Lab. He is also a core faculty member of Texas Robotics and an Amazon Scholar. His research bridges robotics, computer vision, and machine learning to develop robots that can learn, adapt, and operate autonomously in everyday environments such as homes and offices. He studies how robots can acquire skills from human demonstrations and corrections, improve through physical interaction, and retain and reuse experience across tasks and environments. His work combines reinforcement and imitation learning with perception, planning, and control, with a focus on mobile and whole-body manipulation, contact-rich interaction, and long-horizon tasks.

He earned his Ph.D. from Technische Universität Berlin under Oliver Brock and conducted postdoctoral research at the Stanford Vision and Learning Lab with Fei-Fei Li and Silvio Savarese.

His honors include the NSF CAREER Award, the IROS Toshio Fukuda Young Professional Award, the TRI Young Faculty Researcher Award, and the Amazon Faculty Award. His work has received the RSS Best Systems Paper Award, ICRA Best Paper Award, IROS Best Mechanism Award, and RLC Outstanding Paper Award. He has also been recognized as an RSS Pioneer and through AAAI and IJCAI early-career faculty distinctions, and was part of the winning team of the first Amazon Picking Challenge. He serves as Co-Chair of the IEEE RAS Technical Committee on Mobile Manipulation and is a co-founder of QueerInRobotics.