| Speeding Up Optimization-based Motion Planning through Deep Learning J Tenhumberg, D Burschka, B Bäuml IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 | 5 | 2022 |
| Self-Contained Calibration of an Elastic Humanoid Upper Body Using Only a Head-Mounted RGB Camera J Tenhumberg, D Winkelbauer, D Burschka, B Bäuml IEEE/RAS International Conference on Humanoid Robots (Humanoids), 2022 | 4 | 2022 |
| Calibration of an Elastic Humanoid Upper Body and Efficient Compensation for Motion Planning J Tenhumberg, B Bäuml IEEE/RAS International Conference on Humanoid Robots (Humanoids), 2021 | 4 | 2021 |
| Self-Contained and Automatic Calibration of a Multi-Fingered Hand Using Only Pairwise Contact Measurements J Tenhumberg, L Sievers, B Bäuml arXiv preprint arXiv:2311.03957, 2023 | 1 | 2023 |
| Efficient Learning of Fast Inverse Kinematics with Collision Avoidance J Tenhumberg, A Mielke, B Bäuml arXiv preprint arXiv:2311.05938, 2023 | | 2023 |
| Deep Learning for Fast Robot Motion Planning on Voxel Models J Tenhumberg Technische Universität München, 2018 | | 2018 |
| Integration von Reorthogonalisierungsmethoden in einen transienten Finite Element Tearing and Interconnecting Algorithmus J Tenhumberg Technische Universität München, 2015 | | 2015 |
Berthold BäumlTechnical University of Munich; TUM School of Computation, Information and TechnologyVerified email at tum.de
