| Quadrotor fault tolerant incremental sliding mode control driven by sliding mode disturbance observers X Wang, S Sun, EJ van Kampen, Q Chu Aerospace Science and Technology 87, 417-430, 2019 | 63 | 2019 |
| High-speed flight of quadrotor despite loss of single rotor S Sun, L Sijbers, X Wang, C de Visser IEEE Robotics and Automation Letters 3 (4), 3201-3207, 2018 | 38 | 2018 |
| Autonomous quadrotor flight despite rotor failure with onboard vision sensors: Frames vs. events S Sun, G Cioffi, C De Visser, D Scaramuzza IEEE Robotics and Automation Letters 6 (2), 580-587, 2021 | 27 | 2021 |
| Quadrotor gray-box model identification from high-speed flight data S Sun, CC de Visser, Q Chu Journal of Aircraft 56 (2), 645-661, 2019 | 24 | 2019 |
| Incremental Nonlinear Fault-Tolerant Control of a Quadrotor with Complete Loss of Two Opposing Rotors S Sun, X Wang, Q Chu, C de Visser IEEE Transactions on Robotics, 2020 | 20 | 2020 |
| Neurobem: Hybrid aerodynamic quadrotor model L Bauersfeld, E Kaufmann, P Foehn, S Sun, D Scaramuzza 2021 Robotics: Science and Systems (RSS), 2021 | 18 | 2021 |
| Performance, precision, and payloads: Adaptive nonlinear mpc for quadrotors D Hanover, P Foehn, S Sun, E Kaufmann, D Scaramuzza IEEE Robotics and Automation Letters 7 (2), 690-697, 2021 | 11 | 2021 |
| Aerodynamic model identification of a quadrotor subjected to rotor failures in the high-speed flight regime S Sun, C de Visser IEEE Robotics and Automation Letters 4 (4), 3868-3875, 2019 | 10 | 2019 |
| A comparative study of nonlinear mpc and differential-flatness-based control for quadrotor agile flight S Sun, A Romero, P Foehn, E Kaufmann, D Scaramuzza IEEE Transactions on Robotics, 2021 | 9 | 2021 |
| Model predictive contouring control for near-time-optimal quadrotor flight A Romero, S Sun, P Foehn, D Scaramuzza IEEE Transactions on Robotics, 2021 | 8 | 2021 |
| Identification of quadrotor aerodynamic model from high speed flight data S Sun, R Schilder, CC de Visser 2018 AIAA Atmospheric Flight Mechanics Conference, 0523, 2018 | 8 | 2018 |
| Quadrotor safe flight envelope prediction in the high-speed regime: A Monte-Carlo approach S Sun, CC de Visser AIAA Scitech 2019 Forum, 0948, 2019 | 6 | 2019 |
| Perception-Aware Perching on Powerlines With Multirotors JL Paneque, JR Martínez-de Dios, A Ollero, D Hanover, S Sun, A Romero, ... IEEE Robotics and Automation Letters 7 (2), 3077-3084, 2022 | 5 | 2022 |
| Upset Recovery Control for Quadrotors Subjected to a Complete Rotor Failure from Large Initial Disturbances S Sun, M Baert, BAS van Schijndel, C de Visser 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 | 3 | 2020 |
| An adaptive predictor-corrector entry guidance law based on online parameter estimation W Li, S Sun, Z Shen 2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC), 1692-1697, 2016 | 3 | 2016 |
| Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight P Foehn, E Kaufmann, A Romero, R Penicka, S Sun, L Bauersfeld, ... Science Robotics 7 (67), eabl6259, 2022 | 2 | 2022 |
| Incremental fault-tolerant control for a hybrid quad-plane UAV subjected to a complete rotor loss X Wang, S Sun Aerospace Science and Technology 125, 107105, 2022 | 2 | 2022 |
| Model predictive contouring control for time-optimal quadrotor flight A Romero, S Sun, P Foehn, D Scaramuzza IEEE Transactions on Robotics, 2021 | 2 | 2021 |
| Nonlinear MPC for Quadrotor Fault-Tolerant Control F Nan, S Sun, P Foehn, D Scaramuzza IEEE Robotics and Automation Letters 7 (2), 5047-5054, 2022 | 1 | 2022 |
| Fast Fault Detection on a Quadrotor using Onboard Sensors and a Kalman Filter Approach BS van Schijndel, S Sun, C de Visser arXiv preprint arXiv:2102.06439, 2021 | | 2021 |
Coen de VisserDelft University of TechnologyVerified email at tudelft.nl
