Nicholas Roy

Nicholas Roy is a Professor of Aeronautics and Astronautics at the Massachusetts Institute of Technology (MIT), serving as Undergraduate Committee Chair and Director of Engineering for the MIT Quest for Intelligence. He maintains primary affiliations with the Robust Robotics Group, Computer Science & Artificial Intelligence Lab (CSAIL), and MIT Schwarzman College of Computing.

His academic credentials include:

• B.Sc., 1995, McGill University
• M.Sc., 1997, McGill University
• Ph.D., 2003, Carnegie Mellon University

Professor Roy's research pioneers uncertainty-aware autonomy across robotics and AI domains. His work integrates machine learning with robust planning systems to enable operation in GPS-denied environments like forests and indoor spaces. Key innovations include evidential learning for traversability estimation, physics-informed trajectory optimization, and language-grounded multi-robot coordination. His group develops systems for micro air vehicles, contact-rich manipulation, and scientific expeditions requiring autonomous decision-making under partial observability.

Analysis of his 2024-2025 publications reveals three dominant trends: (1) diffusion models for anomaly detection and traversability synthesis, (2) evidential deep learning for risk-aware off-road navigation, and (3) large language model integration for task and motion planning. These works consistently address real-world deployment challenges through uncertainty quantification and physics-based constraints.

As an educator, Roy champions principles of autonomy and decision-making through courses on robotics science and real-time systems. His advising philosophy emphasizes student independence while maintaining active mentorship within the Robust Robotics Group.

The Robust Robotics Group (RRG) focuses on practical autonomy for aerial and ground robots in unstructured environments. Current projects include multi-UAV forest canopy navigation, methane detection for scientific expeditions, and contact-rich manipulation systems leveraging force-guided exploration. RRG maintains strong ties with CSAIL's autonomous systems initiatives and the MIT Quest for Intelligence.