Scholar
Roberto Martín-Martín
Google Scholar ID: XOJE8OEAAAAJ
The University of Texas at Austin
Citations & Impact
Citations
10,303
H-index
45
i10-index
69
Publications
20
Co-authors
21
list available
Publications
Resume (English only)
Academic Achievements
- Awarded the RSS Best System Paper Award for work on the Amazon Picking Challenge, ICRA Best Paper Award, and finalist for IROS Best Paper Award, IROS Best Student Paper Award, IROS Best Cognitive Science Paper Award, ICRA Best Robot System Paper Award, and RSS best student paper award. An RSS Pioneer, Area Editor for IROS and ICRA, and chair of the IEEE/RAS Technical Committee in Mobile Manipulation.
Research Experience
- Worked as an AI Researcher at Salesforce AI and a Postdoctoral scholar at the Stanford Vision and Learning Lab with Professors Silvio Savarese and Fei-Fei Li. Coordinated research projects in two groups: the People, AI & Robots (PAIR) team, focusing on visuomotor learning skills for manipulation and planning, and the iGibson/BEHAVIOR team, examining long-horizon mobile manipulation and human cognition. Also led the Jackrabbot team, studying mobile manipulation in human-populated environments.
Education
- Ph.D. and M.Sc. from Technische Universität Berlin (TUB) at the Robotics and Biology Laboratory (RBO), Advisor: Professor Oliver Brock; B.Sc. from Universidad Politécnica de Madrid.
Background
- Research interests include Robotics, Computer Vision, and Machine Learning. Enthusiastic about creating machines that can perceive their environment to acquire task-relevant information, learn and plan a course of action towards a desired new environment configuration, and execute the plan safely and robustly, even under uncertainty and noisy actuation. Inspired by human cognition through psychology and cognitive science, integrates AI, artificial perception, planning, and control as machine learning problems, developing solutions for simple skills such as pick-and-place, navigation, door opening, and more complex tasks like cooking, assembling furniture, or mobile manipulation problems.
Miscellany
- Prospective students and applicants are welcomed, but due to the large number of requests, may not be able to reply to every email.
