We are a growing group. If you are interested in doing work with the IRAL lab, start by reading this page.


Dr. Cynthia Matuszek's research is in the intersection of robotics and natural language for HRI. She is the director of the IRAL research lab and an assistant professor in UMBC's Computer Science and Electrical Engineering department. Dr. Don Engel's research spans robotics, vision, and immersive human-robot interaction. He is UMBC's Assistant Vice President for Research, and an affiliate assistant professor of both physics and computer science. Dr. Frank Ferraro's research is focused on natural language processing, computational event semantics, and unlabeled, structured probabilistic modeling over very large corpora. He is an assistant professor in UMBC's Computer Science and Electrical Engineering department.


Neil R. Bell, Ph.D., CS.
Sensor-based discovery of the morphology of articulated structures in order to improve the ability of robots to cooperate in teams without assuming pre-existing models of teammates. (On leave)
Tim Lewis, Ph.D., CS.
Context-sensitive mobile platforms suitable for providing semantically-aware communication and navigation help in assistive technologies. (On leave)
Nisha Pillai, Ph.D., CS.
Machine learning algorithms necessary to jointly learn models of language, sensor inputs, and motion, focusing on active learning and novel semantic categories.
Frank Serna, Ph.D., CS.
Adithya Bandi, MS, CS.
Automatic discovery of negative samples in grounded language and natural language corpora to support machine learning.
Caroline Kery, MS, CS.
The effectiveness of applying existing grounded language learning approaches to non-English natural languages.
Huma Saudagar, MS, CS.
Beatriz Tinoco, MS, CS. (Deferred)
Luke Richards, BS, CS.
Building context-rich 3D corpora, aligned with language, to support grounded language learning.