| Deep neural networks for improved, impromptu trajectory tracking of quadrotors Q Li, J Qian, Z Zhu, X Bao, MK Helwa, AP Schoellig 2017 IEEE International Conference on Robotics and Automation (ICRA), 5183-5189, 2017 | 114 | 2017 |
| Provably robust learning-based approach for high-accuracy tracking control of lagrangian systems MK Helwa, A Heins, AP Schoellig IEEE Robotics and Automation Letters 4 (2), 1587-1594, 2019 | 72 | 2019 |
| Design of deep neural networks as add-on blocks for improving impromptu trajectory tracking S Zhou, MK Helwa, AP Schoellig 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5201-5207, 2017 | 50 | 2017 |
| Multi-robot transfer learning: A dynamical system perspective MK Helwa, AP Schoellig 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 46 | 2017 |
| LMI based design of constrained fuzzy predictive control M Khairy, AL Elshafei, HM Emara Fuzzy Sets and Systems 161 (6), 893-918, 2010 | 41 | 2010 |
| 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 | 38 | 2018 |
| Monotonic Reach Control on Polytopes MK Helwa, ME Broucke The 50th IEEE Conference on Decision and Control (CDC), 4741 - 4746, 2011 | 32 | 2011 |
| An inversion-based learning approach for improving impromptu trajectory tracking of robots with non-minimum phase dynamics S Zhou, MK Helwa, AP Schoellig IEEE Robotics and Automation Letters 3 (3), 1663-1670, 2018 | 24 | 2018 |
| Constrained control of the synchromesh operating state in an electric vehicle's clutchless automated manual transmission HV Alizadeh, MK Helwa, B Boulet 2014 IEEE Conference on Control Applications (CCA), 623-628, 2014 | 21 | 2014 |
| Knowledge transfer between robots with similar dynamics for high-accuracy impromptu trajectory tracking S Zhou, MK Helwa, AP Schoellig, A Sarabakha, E Kayacan 2019 18th European Control Conference (ECC), 1-8, 2019 | 19 | 2019 |
| In-block controllability of affine systems on polytopes MK Helwa, PE Caines IEEE Transactions on Automatic Control 62 (6), 2950-2957, 2016 | 19 | 2016 |
| On the construction of safe controllable regions for affine systems with applications to robotics MK Helwa, AP Schoellig Automatica 98, 323-330, 2018 | 17 | 2018 |
| Modeling, analysis and constrained control of wet cone clutch systems: A synchromesh case study HV Alizadeh, MK Helwa, B Boulet Mechatronics 49, 92-104, 2018 | 17 | 2018 |
| Deep neural networks as add-on modules for enhancing robot performance in impromptu trajectory tracking S Zhou, MK Helwa, AP Schoellig The International Journal of Robotics Research 39 (12), 1397-1418, 2020 | 15 | 2020 |
| Epsilon controllability of nonlinear systems on polytopes MKH Peter E. Caines The 54th Conference on IEEE Conference on Decision and Control (CDC), 252 - 257, 2015 | 14* | 2015 |
| Flow functions, control flow functions, and the reach control problem MK Helwa, ME Broucke Automatica 55, 108-115, 2015 | 14 | 2015 |
| Observer-based backstepping controller design for gear shift control of a seamless clutchless two-speed transmission for electric vehicles MSR Mousavi, A Pakniyat, MK Helwa, B Boulet 2015 IEEE Vehicle Power and Propulsion Conference (VPPC), 1-6, 2015 | 13 | 2015 |
| Hierarchical control of piecewise affine hybrid systems MK Helwa, PE Caines 53rd IEEE Conference on Decision and Control, 3950-3956, 2014 | 11 | 2014 |
| Generalized flow conditions for reach control on polytopes MK Helwa, ME Broucke 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 4199-4204, 2012 | 9 | 2012 |
| Reach control of single-input systems on simplices using multi-affine feedback MK Helwa, ME Broucke International symposium on mathematical theory of networks and systems, 2014 | 8 | 2014 |
Angela SchoelligProfessor of Robotics, Technical University of Munich and University of TorontoDirección de correo verificada de tum.de
