Affiliated Faculty, Faculty
My primary research interests are in robotics and natural language processing; in my work, I combine these interests to support research in human-robot interaction, or HRI. My work focuses on the problem of grounded language acquisition: extracting semantically meaningful representations of human language by mapping those representations to the noisy, unpredictable physical world in which robots operate. More specifically, I work on combining probabilistic, grammar-based natural language processing with machine learning to transform human communication into a formal language that a robot can understand. I have looked at using this kind of language learning to learn how to follow navigation instructions or learn more about the world from human users by learning to extend a world model in tandem with learning a language parsing model.
- C. Kery, F. Ferraro, and C. Matuszek, "¿Es un plátano? Exploring the Application of a Physically Grounded Language Acquisition System to Spanish", NAACL Combined Workshop on Spatial Language Understanding and Grounded Communication for Robotics, June 2019, 89 downloads.
- N. W. Pillai, F. Ferraro, and C. Matuszek, "Optimal Semantic Distance for Negative Example Selection in Grounded Language Acquisition", Workshop on Models and Representations for Natural Human-Robot Communication (Robotics: Science and Systems), June 2018, 68 downloads.
- P. K. Das, A. L. Kashyap, G. Singh, C. Matuszek, T. Finin, and A. Joshi, "Semantic knowledge and privacy in the physical web", InProceedings, Proceedings of the 4th Workshop on Society, Privacy and the Semantic Web - Policy and Technology (PrivOn2016) co-located with 15th International Semantic Web Conference (ISWC 2016), October 2016, 1585 downloads.