Tomás Lozano-Perez
Professor, Electrical Engineering and Computer Science
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Tomás Lozano-Perez is the School of Engineering Professor in Teaching Excellence at MIT, and an investigator at the Computer Science and Artificial Intelligence Laboratory. He was previously associate director of the Artificial Intelligence Laboratory and associate head for computer science in MIT’s Department of Electrical Engineering and Computer Science. His research has been in robotics (configuration-space approach to motion planning), computer vision (interpretation-tree approach to object recognition), machine learning (multiple-instance learning), medical imaging (computer-assisted surgery) and computational chemistry (drug activity prediction and protein structure determination from NMR and X-ray data). His current research is aimed at integrating task, motion and decision-theoretic planning for robotic manipulation.
Lozano-Perez is a Fellow of the Association for the Advancement of Artificial Intelligence, Association for Computing Machinery, and Institute for Electrical and Electronics Engineers. He has received an IEEE Robotics Pioneer Award and a Presidential Young Investigator Award.
Publications
- Kim, B., Kyungjae Lee, K., Lim, S., Kaelbling, L. P., Lozano-Perez, T. (2020). Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds. AAAI Conference on Artificial Intelligence.
- International Conference on Automated Planning and Scheduling.
- Kim, B., Wang, Zi., Kaelbling, L. P., Lozano-Perez, T. (2019). Learning to Guide Task and Motion Planning Using Score-space Representation. International Journal of Robotics Research.
- Chitnis, R., Kaelbling, L. P., Lozano-Perez, T. (2019). Learning Quickly to Plan Quickly Using Modular Meta-Learning. International Conference on Robotics and Automation (ICRA).
Media
- Apr. 28, 2020: MIT News, Automating the search for entirely new “curiosity” algorithms.
- Dec. 11, 2017: MIT News, Four from MIT named 2017 Association for Computing Machinery Fellows.
- Apr. 28, 2016: CSAIL News, NASA’s humanoid robot lands at CSAIL.
- Mar. 14, 2014: MIT News, Five professors named 2014 MacVicar Faculty Fellows.