Robotics

Robotics integrates sensing, computation, and physical systems to enable machines to operate in complex and dynamic environments.

In Canada, robotics contributes to industrial productivity, infrastructure management, and the ability to operate in environments that are remote, hazardous, or difficult to access.

At the University of Toronto, robotics research spans perception, autonomy, and human–machine interaction—advancing systems that can navigate uncertainty, support decision-making, and perform tasks across domains such as transportation, infrastructure inspection, healthcare, and environmental monitoring.

Why this matters

Operation in complex environments
Enables systems to function effectively in dynamic, uncertain, and hard-to-access settings.

Productivity and safety
Supports industrial efficiency while reducing risk in hazardous or remote operations.

Human–machine collaboration
Advances systems that enhance decision-making and interaction between people and robotic platforms.

Entities

Robotics Institute

Robotics Institute

The University of Toronto Robotics Institute is a globally recognized hub for interdisciplinary research in robotics, artificial intelligence, and autonomous systems. Bringing together researchers from engineering, computer science, health and design, the Institute advances foundational and applied work in perception, manipulation, human-robot interaction and learning-enabled autonomy. Its facilities include a dedicated indoor drone testing arena […]
Connect with the Robotics Institute
Centre for Aerial Robotics Research and Education

Centre for Aerial Robotics Research and Education

The Centre for Aerial Robotics Research and Education (CARRE), part of the UTIAS ecosystem, is a University of Toronto initiative that expands and unifies research and teaching in the rapidly growing field of aerial robotics. CARRE supports the development of new technologies, advanced training of highly qualified personnel, and the dissemination of research outcomes to […]
Toronto Robotics and AI Laboratory

Toronto Robotics and AI Laboratory

The Toronto Robotics and AI Laboratory (TRAIL), part of the UTIAS ecosystem, is a leading University of Toronto research lab advancing autonomy, perception, and decision-making for robotic systems operating in complex environments. TRAIL researchers develop algorithms and integrated systems for mapping, localization, motion planning, and multi-sensor fusion, supporting applications in aerial robotics, autonomous vehicles and […]

Opportunities

Training

Ph.D.: Aerospace Science and Engineering

Faculty of Applied Science and Engineering, Institute for Aerospace Studies

MASc: Aerospace Science and Engineering

Faculty of Applied Science and Engineering, Institute for Aerospace Studies

MEng: Aerospace Science and Engineering

Faculty of Applied Science and Engineering, Institute for Aerospace Studies
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