Large-scale 6d object pose estimation dataset for industrial bin-picking K Kleeberger, C Landgraf, MF Huber 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 79 | 2019 |
A hybrid neural network approach for increasing the absolute accuracy of industrial robots C Landgraf, K Ernst, G Schleth, M Fabritius, MF Huber 2021 IEEE 17th International Conference on Automation Science and …, 2021 | 22 | 2021 |
A reinforcement learning approach to view planning for automated inspection tasks C Landgraf, B Meese, M Pabst, G Martius, MF Huber Sensors 21 (6), 2030, 2021 | 22 | 2021 |
Large-scale 6d object pose estimation dataset for industrial bin-picking. In 2019 IEEE K Kleeberger, C Landgraf, MF Huber RSJ International Conference on Intelligent Robots and Systems (IROS), 2573-2578, 0 | 7 | |
Towards automatic welding on construction sites: A flexible robotic system for multi-layer welding MS Finkbeiner, C Landgraf, F Mueller-Graf, U Paschke, J Stoll, W Kraus, ... ISR Europe 2022; 54th International Symposium on Robotics, 1-8, 2022 | 1 | 2022 |
An easy hand-eye calibration method for laser profile scanners in high precision applications using optimized view poses U Paschke, C Landgraf, K Ernst, JT Stoll, W Kraus 2022 IEEE 18th International Conference on Automation Science and …, 2022 | | 2022 |
Hochgenaue Robotersysteme C Landgraf | | 2021 |
Automatic Path Planning for Industrial Welding Robots: Review and Introduction of a Novel Framework G Hentz, C Landgraf, J Stoll | | 2020 |