Tomas Lozano-Perez

Tomas Lozano-Perez is the School of Engineering Professor in Teaching Excellence at MIT, affiliated with CSAIL. He holds SB, SM, and PhD degrees in Computer Science from MIT. His research focuses on robotics, computer vision, machine learning, medical imaging, and computational chemistry. He is a Fellow of AAAI, ACM, and IEEE, and recipient of major awards including the IEEE Robotics Pioneer Award (2011) and the 2021 IEEE Robotics and Automation Award.

Education:

• PhD in Computer Science, MIT (1980)
• SM in Computer Science, MIT (1976)
• SB in Computer Science, MIT (1973)

Research Interests:

• Robotics: motion planning, manipulation, and decision-theoretic planning
• Computer Vision: object recognition via interpretation trees
• Machine Learning: multiple-instance learning and diffusion models
• Medical Imaging: computer-assisted surgery
• Computational Chemistry: drug activity prediction and protein structure analysis

Key Contributions:

• Developed configuration-space approach for robot motion planning
• Pioneered integration of task, motion, and decision-theoretic planning
• Advances in embodied intelligence and human-robot interaction

Projects & Labs:

• Lead of the Learning and Intelligent Systems research group at CSAIL
• Co-lead of the Task and Motion Planning for Autonomous Robots project
• Member of the Embodied Intelligence Community of Research