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Christian Landgraf
Christian Landgraf
Verified email at ipa.fraunhofer.de - Homepage
Title
Cited by
Cited by
Year
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
672019
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
212021
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
152021
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
6
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
12022
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
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Articles 1–8