| Finding and analysing energy research funding data: The EnArgus system L Oppermann, S Hirzel, A Güldner, K Heiwolt, J Krassowski, U Schade, ... Energy and AI 5, 100070, 2021 | 7 | 2021 |
| Automatic detection of myocontrol failures based upon situational context information K Heiwolt, C Zito, M Nowak, C Castellini, R Stolkin 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR …, 2019 | 6 | 2019 |
| Deep semantic segmentation of 3D plant point clouds K Heiwolt, T Duckett, G Cielniak | 6* | |
| Automated topological mapping for agricultural robots K Heiwolt, W Mandil, G Cielniak, M Hanheide UKRAS20 Conference: Robots into the Real World Proceedings, 27-29, 2020 | 2 | 2020 |
| EnArgus 2.0-Zentrales Informationssystem Energieforschungsförderung. Schlussbericht L Oppermann, S Hirzel, J Krassowski, K Heiwolt, R Ruland, T Koch Fraunhofer FIT, 2017 | 2 | 2017 |
| Statistical shape representations for temporal registration of plant components in 3D K Heiwolt, C Öztireli, G Cielniak 2023 IEEE International Conference on Robotics and Automation (ICRA), 9587-9593, 2023 | 1 | 2023 |
| What’s going on in energy efficiency research? A platform to enhance the transparency of energy research funding in Germany S Hirzel, P Plötz, C Rohde, B Teufel, J Krassowski, C Beier, T Rauscher, ... | 1 | 2017 |
| Lincoln's Annotated Spatio-Temporal Strawberry Dataset (LAST-Straw) KMF James, K Heiwolt, DJ Sargent, G Cielniak arXiv preprint arXiv:2403.00566, 2024 | | 2024 |
| Statistical Shape Representations for Temporal Registration of Plant Components in 3D C Öztireli, G Cielniak, K Heiwolt University of Lincoln, 2023 | | 2023 |
| Deep semantic segmentation of 3D plant point clouds G Cielniak, T Duckett, K Heiwolt University of Lincoln, 2021 | | 2021 |
| Energy and AI L Oppermann, S Hirzel, A Güldner, K Heiwolt, J Krassowski, U Schade, ... | | |
Grzegorz CielniakProfessor in Robotics, University of LincolnПотвърден имейл адрес: lincoln.ac.uk
