| Fast Manipulability Maximization Using Continuous-Time Trajectory Optimization F Marić, O Limoyo, L Petrović, T Ablett, I Petrović, J Kelly 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 | 23 | 2019 |
| Self-calibration of mobile manipulator kinematic and sensor extrinsic parameters through contact-based interaction O Limoyo, T Ablett, F Marić, L Volpatti, J Kelly 2018 IEEE International Conference on Robotics and Automation (ICRA), 4913-4920, 2018 | 19 | 2018 |
| Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor T Ablett, O Limoyo, A Sigal, A Jilani, J Kelly, K Siddiqi, F Hogan, G Dudek arXiv preprint arXiv:2311.01248, 2023 | 14 | 2023 |
| Learning from guided play: Improving exploration for adversarial imitation learning with simple auxiliary tasks T Ablett, B Chan, J Kelly IEEE Robotics and Automation Letters 8 (3), 1263-1270, 2023 | 13 | 2023 |
| Fighting failures with fire: Failure identification to reduce expert burden in intervention-based learning T Ablett, F Marić, J Kelly arXiv preprint arXiv:2007.00245, 2020 | 12 | 2020 |
| Learning sequential latent variable models from multimodal time series data O Limoyo, T Ablett, J Kelly International Conference on Intelligent Autonomous Systems, 511-528, 2022 | 8 | 2022 |
| Vision-based system for navigating a robot through an indoor space R Peters, CV Tran, TL Ablett, LJ Lepore, MJ Sergenese US Patent App. 14/886,698, 2017 | 8 | 2017 |
| Seeing All the Angles: Learning Multiview Manipulation Policies for Contact-Rich Tasks from Demonstrations T Ablett, Y Zhai, J Kelly 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 | 6 | 2021 |
| Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning T Ablett, B Chan, J Kelly 2021 NeurIPS Deep Reinforcement Learning Workshop, 2021 | 5 | 2021 |
| Apparatus and method for controlling robotic manipulators A KONAR, O Limoyo, F Hogan, GL DUDEK, T Ablett US Patent App. 18/506,672, 2024 | 3 | 2024 |
| Method of calibrating a mobile manipulator JS Kelly, O Limoyo, T Ablett US Patent App. 16/976,066, 2020 | 3 | 2020 |
| Efficient Imitation Without Demonstrations via Value-Penalized Auxiliary Control from Examples T Ablett, B Chan, JH Wang, J Kelly 2025 IEEE International Conference on Robotics and Automation (ICRA), 2333-2339, 2025 | 1* | 2025 |
| Continuous tactile feedback for electronic devices FR Hogan, T Ablett, X Liu, GL DUDEK, A Feriani US Patent 12,481,403, 2025 | | 2025 |
| Learning Cross-Spectral Point Features with Task-Oriented Training M Thomas, T Ablett, J Kelly arXiv preprint arXiv:2505.12593, 2025 | | 2025 |
| Addressing Distribution Shift in Robotic Imitation Learning TL Ablett University of Toronto (Canada), 2025 | | 2025 |
| Working Backwards: Learning to Place by Picking O Limoyo, A Konar, T Ablett, J Kelly, FR Hogan, G Dudek 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024 | | 2024 |
| Fast Reinforcement Learning without Rewards or Demonstrations via Auxiliary Task Examples T Ablett, B Chan, JH Wang, J Kelly CoRL 2024 Workshop on Mastering Robot Manipulation in a World of Abundant Data, 0 | | |
Jonathan KellyProfessor, Institute for Aerospace Studies, University of TorontoVerified email at robotics.utias.utoronto.ca
