| Safe learning in robotics: From learning-based control to safe reinforcement learning L Brunke, M Greeff, AW Hall, Z Yuan, S Zhou, J Panerati, AP Schoellig Annual Review of Control, Robotics, and Autonomous Systems 5 (1), 411-444, 2022 | 755 | 2022 |
| Flatness-based model predictive control for quadrotor trajectory tracking M Greeff, AP Schoellig 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 76 | 2018 |
| There's no place like home: Visual teach and repeat for emergency return of multirotor UAVs during GPS failure M Warren, M Greeff, B Patel, J Collier, AP Schoellig, TD Barfoot IEEE Robotics and automation letters 4 (1), 161-168, 2018 | 63 | 2018 |
| Exploiting differential flatness for robust learning-based tracking control using Gaussian processes M Greeff, AP Schoellig IEEE Control Systems Letters 5 (4), 1121-1126, 2020 | 53 | 2020 |
| Safe-Control-Gym: A Unified Benchmark Suite for Safe Learning-Based Control and Reinforcement Learning in Robotics Z Yuan, AW Hall, S Zhou, L Brunke, M Greeff, J Panerati, AP Schoellig IEEE Robotics and Automation Letters 7 (4), 11142-11149, 2022 | 48 | 2022 |
| A perception-aware flatness-based model predictive controller for fast vision-based multirotor flight M Greeff, TD Barfoot, AP Schoellig IFAC-PapersOnLine 53 (2), 9412-9419, 2020 | 14 | 2020 |
| Learning a stability filter for uncertain differentially flat systems using Gaussian processes M Greeff, AW Hall, AP Schoellig 2021 60th IEEE Conference on Decision and Control (CDC), 789-794, 2021 | 13 | 2021 |
| Differentially flat learning-based model predictive control using a stability, state, and input constraining safety filter AW Hall, M Greeff, AP Schoellig IEEE Control Systems Letters 7, 2191-2196, 2023 | 5 | 2023 |
| Fly out the window: Exploiting discrete-time flatness for fast vision-based multirotor flight M Greeff, SQ Zhou, AP Schoellig IEEE Robotics and Automation Letters 7 (2), 5023-5030, 2022 | 4 | 2022 |
| Model predictive path-following for constrained differentially flat systems M Greeff, AP Schoellig arXiv preprint arXiv:1710.02555, 2017 | 4 | 2017 |
| Distributed model predictive control for cooperative multirotor landing on uncrewed surface vessel in waves J Stephenson, NT Duncan, M Greeff 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 645-651, 2024 | 3 | 2024 |
| A Computationally Efficient Learning-Based Model Predictive Control for Multirotors Under Aerodynamic Disturbances B Akbari, M Greeff 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 185-192, 2024 | 1 | 2024 |
| A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges S Teetaert, W Zhao, N Xinyuan, H Zahir, H Leong, M Hidalgo, G Puga, ... arXiv preprint arXiv:2308.16743, 2023 | 1 | 2023 |
| Tiny Learning-Based MPC for Multirotors: Solver-Aware Learning for Efficient Embedded Predictive Control B Akbari, J Frank, M Greeff arXiv preprint arXiv:2410.23634, 2024 | | 2024 |
| A Time and Place to Land: Online Learning-Based Distributed MPC for Multirotor Landing on Surface Vessel in Waves J Stephenson, WS Stewart, M Greeff arXiv preprint arXiv:2410.21674, 2024 | | 2024 |
| safe-Control-Gym: A Unified Benchmark Suite for Safe Learning-Based Control and Reinforcement Learning in Robotics Z Yuan, AW Hall, S Zhou, L Brunke, M Greeff, J Panerati, AP Schoellig IEEE Robotics and Automation Letters, 2022 | | 2022 |
| Flying Flat Out: Fast Multirotor Flight Using Vision-Based Navigation in Real-World Environments M Greeff University of Toronto (Canada), 2022 | | 2022 |
