| Adaptive model predictive control for high-accuracy trajectory tracking in changing conditions K Pereida, AP Schoellig 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 67 | 2018 |
| Data-efficient multirobot, multitask transfer learning for trajectory tracking K Pereida, MK Helwa, AP Schoellig IEEE Robotics and Automation Letters 3 (2), 1260-1267, 2018 | 39 | 2018 |
| Catch the ball: Accurate high-speed motions for mobile manipulators via inverse dynamics learning K Dong, K Pereida, F Shkurti, AP Schoellig 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 28 | 2020 |
| Transfer learning for high‐precision trajectory tracking through adaptive feedback and iterative learning K Pereida, D Kooijman, RRPR Duivenvoorden, AP Schoellig International Journal of Adaptive Control and Signal Processing 33 (2), 388-409, 2019 | 27 | 2019 |
| High-precision trajectory tracking in changing environments through L1 adaptive feedback and iterative learning K Pereida, RRPR Duivenvoorden, AP Schoellig 2017 IEEE International Conference on Robotics and Automation (ICRA), 344-350, 2017 | 23 | 2017 |
| Bridging the model-reality gap with lipschitz network adaptation S Zhou, K Pereida, W Zhao, AP Schoellig IEEE Robotics and Automation Letters 7 (1), 642-649, 2021 | 12 | 2021 |
| Robust adaptive model predictive control for guaranteed fast and accurate stabilization in the presence of model errors K Pereida, L Brunke, AP Schoellig International Journal of Robust and Nonlinear Control 31 (18), 8750-8784, 2021 | 11 | 2021 |
| Hybrid Dijkstra-PSO algorithm for motion planning of non-holonomic multiple-trailer platforms in dense contexts K Pereida, J Guivant 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2013 | 8 | 2013 |
| Distributed multi sensor data fusion for autonomous 3d mapping JE Guivant, S Marden, K Pereida 2012 International Conference on Indoor Positioning and Indoor Navigation …, 2012 | 6 | 2012 |
| Ultra-wideband aided inertial navigation: Observability analysis and sensor extrinsics calibration A Goudar, K Pereida, AP Schoellig Proc. IEEE Int. Conf. Intell. Robot. Syst., 1-7, 2020 | 3 | 2020 |
| Diversity in robotics: From diverse teams to diverse impact K Pereida, M Greef Google Scholar Google Scholar Reference, 2020 | 3 | 2020 |
| Robust adaptive model predictive control for high-accuracy trajectory tracking in changing conditions K Pereida, AP Schoellig IEEE International Conference on Robotics and Automation (ICRA) Workshop on …, 2019 | 3 | 2019 |
| Pwl approximation for dense mapping and associated dijkstra processes for the concurrent synthesis of multiple full cost-to-go functions K Pereida, J Guivant Proceedings of the Australasian Conference on Robotics and Automation …, 2013 | 2 | 2013 |
| A Statistical Guarantee for Representation Transfer in Multitask Imitation Learning B Chan, K Pereida, J Bergstra arXiv preprint arXiv:2311.01589, 2023 | 1 | 2023 |
| Adaptive and Learning Controllers for High-Accuracy Trajectory Tracking in Changing Conditions KP Pérez University of Toronto (Canada), 2020 | 1 | 2020 |
| The Role of Representation Transfer in Multitask Imitation Learning B Chan, K Pereida, J Bergstra | | |
| Adaptive Model Predictive Control for High-Accuracy Trajectory Tracking in Changing Environments K Pereida, AP Schoellig | | |
| All Models Are Wrong: Robust Adaptive Model Predictive Control for Safe and High Accuracy Trajectory Tracking in the Presence of Model Errors K Pereida, AP Schoellig | | |
| PWL Approximation for Dense Mapping and Associated Hybrid PSO-Dijkstra Processes for Path Planning K Pereida, J Guivant, A Lohr | | |
| High-Accuracy Trajectory Tracking in Changing Environments K Pereida | | |
Angela SchoelligProfessor of Robotics, Technical University of Munich and University of TorontoVerified email at tum.de
