Frederik Hagelskjśr
Frederik Hagelskjśr
PostDoc at SDU
Verified email at
Cited by
Cited by
PointVoteNet: Accurate object detection and 6 DoF pose estimation in point clouds
F Hagelskjśr, AG Buch
2020 IEEE International Conference on Image Processing (ICIP), 2641-2645, 2020
Using spatial constraints for fast set-up of precise pose estimation in an industrial setting
F Hagelskjśr, TR Savarimuthu, N KrŁger, AG Buch
2019 IEEE 15th International Conference on Automation Science and†…, 2019
Compensating pose uncertainties through appropriate gripper finger cutouts
A Wolniakowski, A Gams, A Kramberger, A Ude
acta mechanica et automatica 1 (12), 78-83, 2018
Towards robot cell matrices for agile production–SDU Robotics' assembly cell at the WRC 2018
C Schlette, AG Buch, F Hagelskjśr, I Iturrate, D Kraft, A Kramberger, ...
Advanced Robotics 34 (7-8), 422-438, 2020
Does vision work well enough for industry?
F Hagelskjśr, N KrŁger, AG Buch
Visapp, 2018
Bayesian Optimization of 3D Feature Parameters for 6D Pose Estimation.
F Hagelskjśr, N KrŁger, AG Buch
VISIGRAPP (5: VISAPP), 135-142, 2019
A Novel 2.5 D Feature Descriptor Compensating for Depth Rotation
F Hagelskjśr, AG Buch, N KrŁger
Visapp, 2017
Optimizing grippers for compensating pose uncertainties by dynamic simulation
A Wolniakowski, A Kramberger, A Gams, D Chrysostomou, F Hagelskjśr, ...
2016 IEEE International Conference on Simulation, Modeling, and Programming†…, 2016
Bridging the Reality Gap for Pose Estimation Networks using Sensor-Based Domain Randomization
F Hagelskjśr, AG Buch
Proceedings of the IEEE/CVF International Conference on Computer Vision, 935-944, 2021
Combined Optimization of Gripper Finger Design and Pose Estimation Processes for Advanced Industrial Assembly
F Hagelskjśr, A Kramberger, A Wolniakowski, TR Savarimuthu, N KrŁger
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems†…, 2019
Compensating pose uncertainties through appropriate gripper finger cutouts
A Wolniakowski, A Gams, L Kiforenko, A Kramberger, DC Chrysostomou, ...
12th International Conference Mechatronic Systems and Materials, 2016
ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data
F Hagelskjaer, AG Buch
arXiv preprint arXiv:2203.00945, 2022
Deep learning classification of large-scale point clouds: A case study on cuneiform tablets
F Hagelskjaer
arXiv preprint arXiv:2202.10851, 2022
Towards Flexible PCB Assembly Using Simulation-Based Optimization
S Mathiesen, LC SÝrensen, TM Iversen, F Hagelskjśr, D Kraft
Towards Sustainable Customization: Bridging Smart Products and Manufacturing†…, 2021
A Framework for Facilitating the Set-up of Industrial Pose Estimation Systems
F Hagelskjśr
Using Online Modelled Spatial Constraints for Pose Estimation in an Industrial Setting
KK Meyer, A Wolniakowski, F Hagelskjśr, L Kiforenko, AG Buch, ...
Mechatronics and Robotics Engineering for Advanced and Intelligent†…, 2017
Estimated Date of Delivery to the EC: 31-10-2017 Actual Date of Delivery to the EC: 15-11-2017
T Ivanovska, M Tamosiunaite, F Hagelskjaer, AU Bevec, N KrŁger, ...
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