I am currently a Research Scientist at Apple Inc., developing algorithms for natural language processing and machine learning to improve the accuracy and performance of Siri. Previously, I was a Postdoctoral Fellow at Carnegie Mellon University, working at the intersection of perception, robotics, machine learning and natural language processing. I hold a Ph.D. and M.S. in Computer Science, both from MIT, a B.S. in Computer Science, with highest honors, from the University of Rochester, and a B.A. in Mathematics from the University of Rochester. I was general chair of the HRI Pioneers Workshop at the 6th ACM/IEEE International Conference on Human-Robot Interaction. As an undergraduate, I developed an hors d’oeuvre-serving robot to compete in the AAAI robotics competition. I am a member of IEEE, AAAI, and Sigma Xi.
- Toward Interactive Grounded Language Acquisition. Thomas Kollar, Jayant Krishnamurthy and Grant Strimel. In Proceedings of Robotics: Science and Systems, 2013. PDF
- Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World. Jayant Krishnamurthy and Thomas Kollar. Transactions of the Association for Computational Linguistics, 2013. PDF / Data and Online Appendix
- Imitation Learning for Natural Language Direction Following through Unknown Environments. Felix Duvallet, Thomas Kollar, Anthony Stentz.. International Conference on Robotics and Automation (ICRA) 2013. Best Cognitive Robotics paper nominee. PDF
- Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation. Thomas Kollar*, Stefanie Tellex*, Steven Dickerson*, Matthew R. Walter, Ashis Gopal Banerjee, Seth Teller, Nicholas Roy. (2011). Proceedings of the National Conference on Artificial Intelligence (AAAI), San Francisco, CA. (25% acceptance.) (*equal contribution)
- Grounding Spatial Language for Video Search. Stefanie Tellex, Thomas Kollar, George Shaw, Nicholas Roy and Deb Roy. (2010). Proceedings of the Twelfth International Conference on Multimodal Interfaces (ICMI). (Best Student Paper) (44% acceptance; 25% for oral)
- Toward Understanding Natural Language Directions. Thomas Kollar*, Stefanie Tellex*, Deb Roy, and Nick Roy. (2010). Proceedings of Human Robot Interaction Conference. (21% acceptance.) (*equal contribution)
- Clarifying Commands with Information-Theoretic Human-Robot Dialog. Journal of Human-Robot Interaction. Robin Deits*, Stefanie Tellex*, Pratiksha Thaker, Dimitar Simeonov, Thomas Kollar, Nicholas Roy. (2013). (Special Issue: Best of HRI Conferences). Invited paper. (*equal contribution)
- Toward Information Theoretic Human-Robot Dialog. Stefanie Tellex*, Pratiksha Thaker*, Robin Deits, Dimitar Simeonov, Thomas Kollar, Nicholas Roy. (2012). Robotics: Science and Systems. (34% acceptance).(*equal contribution)
- Approaching the Symbol Grounding Problem with Probabilistic Graphical Models. Stefanie Tellex*, Thomas Kollar*, Steven Dickerson, Matthew R. Walter, Ashis Gopal Banerjee, Seth Teller, Nicholas Roy. (2011). AI Magazine. 32(4): 64-76. (Invited paper.) (*equal contribution)
- Grounding Verbs of Motion in Natural Language Commands to Robots. Thomas Kollar*, Stefanie Tellex*, Deb Roy, Nicholas Roy. (2010). International Symposium on Experimental Robotics (ISER), New Delhi, India. (*equal contribution)
- A Discriminative Model for Understanding Natural Language Route Directions. Thomas Kollar, Stefanie Tellex, Nicholas Roy. (2010). AAAI Fall Symposium Series.
- Natural Language Command of an Autonomous Micro-Air Vehicle. Albert Huang*, Stefanie Tellex*, Abraham Bachrach*, Thomas Kollar*, Deb Roy, and Nick Roy. (2010). Proceedings of the International Conference on Intelligent Robots and Systems (IROS). (46% acceptance.) (*equal contribution)