University of Toronto — Robotics Institute
Birthplace of deep learning (Geoffrey Hinton). Toronto's robotics work builds on this AI leadership for robot perception, autonomous driving, and learned manipulation.
Notable achievements
Deep learning foundations (Hinton), autonomous driving research, robot perception, Waabi spinout (self-driving), Samsung AI Centre Toronto.
Notable work
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
A digital twin-empowered resilient path-following approach for non-holonomic autonomous vehicles under DoS attacks
Hunain Kaisar, Muhammad Rehan, Ijaz Ahmed +1 more
Robotics and Autonomous Systems · 2026
A hierarchical approach to imitation learning for manipulation tasks requiring time varying forces
Rishabh Shukla, Adithya Santhosh, Shaili Gandhi +2 more
Robotics and Computer-Integrated Manufacturing · 2026
Inverse Design of Compact and Wideband Inverted Doherty Power Amplifiers Using Deep Learning
Han Zhou, Haojie Chang, David Widen +1 more
2026
An Attention-based Model for Robust Forecasting with Missing Modality
Zhitian Zhang, Wenjie Zi, Yunduz Rakhmangulova +3 more
2026
What Are We Actually Benchmarking in Robot Manipulation?
Tianchong Jiang, Xiangshan Tan, Samuel Wheeler +3 more
2026
DLO-Lab: Benchmarking Deformable Linear Object Manipulations with Differentiable Physics
Junyi Cao, Yian Wang, Ziyan Xiong +3 more
2026