| Experimental evaluation of various machine learning regression methods for model identification of autonomous underwater vehicles B Wehbe, M Hildebrandt, F Kirchner 2017 IEEE International Conference on Robotics and Automation (ICRA), 4885-4890, 2017 | 36 | 2017 |
| Learning coupled dynamic models of underwater vehicles using support vector regression B Wehbe, MM Krell OCEANS 2017-Aberdeen, 1-7, 2017 | 21 | 2017 |
| Dynamic modeling and path planning of a hybrid autonomous underwater vehicle B Wehbe, E Shammas, J Zeaiter, D Asmar 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014 …, 2014 | 16 | 2014 |
| AUVx — A novel miniaturized autonomous underwater vehicle H Hanff, P Kloss, B Wehbe, P Kampmann, S Kroffke, A Sander, MB Firvida, ... OCEANS 2017-Aberdeen, 1-10, 2017 | 13 | 2017 |
| Infuse: A comprehensive framework for data fusion in space robotics S Govindaraj, J Gancet, M Post, R Dominguez, F Souvannavong Infinite Study, 2017 | 10 | 2017 |
| Online model identification for underwater vehicles through incremental support vector regression B Wehbe, A Fabisch, MM Krell 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 9 | 2017 |
| A common data fusion framework for space robotics: architecture and data fusion methods R Dominguez, S Govindaraj, J Gancet, M Post, R Michalec, N Oumer, ... International Symposium on Artificial Intelligence, Robotics and Automation …, 2018 | 8 | 2018 |
| Recent advances in ai for navigation and control of underwater robots L Christensen, J de Gea Fernández, M Hildebrandt, CES Koch, B Wehbe Current Robotics Reports, 1-11, 2022 | 7 | 2022 |
| A framework for on-line learning of underwater vehicles dynamic models B Wehbe, M Hildebrandt, F Kirchner 2019 International Conference on Robotics and Automation (ICRA), 7969-7975, 2019 | 7 | 2019 |
| Pre-trained models for sonar images M Valdenegro-Toro, A Preciado-Grijalva, B Wehbe OCEANS 2021: San Diego–Porto, 1-8, 2021 | 5 | 2021 |
| InFuse data fusion methodology for space robotics, awareness and machine learning M Post, R Michalec, A Bianco, X Yan, A De Maio, S Lacroix, J Gancet, ... 69th International Astronautical Congress, 2018 | 5 | 2018 |
| Novel three-dimensional optimal path planning method for vehicles with constrained pitch and yaw B Wehbe, S Bazzi, E Shammas Robotica 35 (11), 2157-2176, 2017 | 5 | 2017 |
| A novel method to generate three-dimensional paths for vehicles with bounded pitch and yaw B Wehbe, E Shammas, D Asmar 2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM …, 2015 | 5 | 2015 |
| Deep reinforcement learning for continuous docking control of autonomous underwater vehicles: a benchmarking study M Patil, B Wehbe, M Valdenegro-Toro OCEANS 2021: San Diego–Porto, 1-7, 2021 | 4 | 2021 |
| Long-Term Adaptive Modeling for Autonomous Underwater Vehicles B Wehbe Universität Bremen, 2020 | 3 | 2020 |
| Spatial acoustic projection for 3d imaging sonar reconstruction S Arnold, B Wehbe 2022 International Conference on Robotics and Automation (ICRA), 3054-3060, 2022 | 2 | 2022 |
| From epi-to bathypelagic: Transformation of a compact auv system for long-term deployments M Hildebrandt, S Arnold, P Kloss, B Wehbe, M Zipper 2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV), 1-6, 2020 | 2 | 2020 |
| ROBOCADEMY—A European Initial Training Network for underwater robotics T Vögele, B Wehbe, S Nascimento, F Kirchner, F Ferreira, G Ferri, ... Oceans 2016-shanghai, 1-5, 2016 | 2 | 2016 |
| Self-supervised Learning for Sonar Image Classification A Preciado-Grijalva, B Wehbe, MB Firvida, M Valdenegro-Toro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 1 | 2022 |
| Online model adaptation of autonomous underwater vehicles with LSTM networks M Bande, B Wehbe OCEANS 2021: San Diego–Porto, 1-6, 2021 | 1 | 2021 |
Frank KirchnerProfessor für Robotik, Universität Bremen, DFKIVerified email at dfki.de
