Capabilities — Robotics — Defence Innovation | University of Toronto

We are evolving autonomous platforms, intelligent sensing and resilient robotic systems designed to operate safely and effectively in complex real-world environments.

Learn more about our Robotics capabilities

Ph.D.: Aerospace Science and Engineering

Program: Ph.D.: Aerospace Science and Engineering Credential: Ph.D. Type: Graduate Research Unit: Institute for Aerospace Studies Division: Faculty of Applied Science and Engineering Fields: Aerospace engineering; AI and Machine Learning; Autonomous systems; Control and navigation systems; Flight systems Program URL: https://gradstudies.engineering.utoronto.ca/research-degrees/

MASc: Aerospace Science and Engineering

Program: MASc: Aerospace Science and Engineering Credential: MASc Type: Graduate Research Unit: Institute for Aerospace Studies Division: Faculty of Applied Science and Engineering Fields: Aerospace engineering; AI and Machine Learning; Autonomous systems; Control and navigation systems; Flight systems Program URL: https://gradstudies.engineering.utoronto.ca/research-degrees/

MEng: Aerospace Science and Engineering

Program: MEng: Aerospace Science and Engineering Credential: MEng Type: Graduate Professional Unit: Institute for Aerospace Studies Division: Faculty of Applied Science and Engineering Fields: Aerospace engineering; AI and Machine Learning; Autonomous systems; Control and navigation systems; Flight systems Program URL: https://gradstudies.engineering.utoronto.ca/master-of-engineering-meng/

BASc: Robotics

Program: BASc: Robotics Credential: BASc Type: Undergraduate Unit: Department of Engineering Science Division: Faculty of Applied Science and Engineering Fields: AI and Machine Learning; Autonomous systems; Control systems; Mechatronics; Robotics Program URL: https://discover.engineering.utoronto.ca/programs/engineering-programs/engineering-science/ Experiential learning: Professional Experience Year (PEY) Co-op Co-op URL: https://discover.engineering.utoronto.ca/experiential-learning/professional-experience-year-pey/

BASc: Aerospace Engineering

Program: BASc: Aerospace Engineering Credential: BASc Type: Undergraduate Unit: Department of Engineering Science Division: Faculty of Applied Science and Engineering Fields: Aerospace engineering; AI and Machine Learning; Autonomous systems; Control systems; Flight dynamics Program URL: https://discover.engineering.utoronto.ca/programs/engineering-programs/engineering-science/ Experiential learning: Professional Experience Year (PEY) Co-op Co-op URL: https://discover.engineering.utoronto.ca/experiential-learning/professional-experience-year-pey/

Robotics

We are evolving autonomous platforms, intelligent sensing and resilient robotic systems designed to operate safely and effectively in complex real-world environments.

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 […]

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

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 […]