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Frederik Hagelskjśr
Frederik Hagelskjśr
Assistant Professor at SDU
Verified email at mmmi.sdu.dk
Title
Cited by
Cited by
Year
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
402020
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
182020
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
162019
Does vision work well enough for industry?
F Hagelskjśr, N KrŁger, AG Buch
Visapp, 2018
132018
Compensating pose uncertainties through appropriate gripper finger cutouts
A Wolniakowski, A Gams, L Kiforenko, A Kramberger, D Chrysostomou, ...
acta mechanica et automatica 12 (1), 78-83, 2018
112018
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
92019
Parapose: Parameter and domain randomization optimization for pose estimation using synthetic data
F Hagelskjśr, AG Buch
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems†…, 2022
62022
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
6*2021
Spyropose: Se (3) pyramids for object pose distribution estimation
RL Haugaard, F Hagelskjśr, TM Iversen
Proceedings of the IEEE/CVF International Conference on Computer Vision†…, 2023
42023
Bayesian optimization of 3d feature parameters for 6d pose estimation
F Hagelskjśr, N KrŁger, AG Buch
14th International Conference on Computer Vision Theory and Applications†…, 2019
42019
In-hand pose estimation and pin inspection for insertion of through-hole components
F Hagelskjśr, D Kraft
2022 IEEE 18th International Conference on Automation Science and†…, 2022
32022
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†…, 2022
32022
A Novel 2.5 D Feature Descriptor Compensating for Depth Rotation
F Hagelskjśr, AG Buch, N KrŁger
Visapp, 2017
32017
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
32016
Deep learning classification of large-scale point clouds: A case study on cuneiform tablets
F Hagelskjśr
2022 IEEE International Conference on Image Processing (ICIP), 826-830, 2022
22022
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
12016
KeyMatchNet: Zero-Shot Pose Estimation in 3D Point Clouds by Generalized Keypoint Matching
F Hagelskjśr, RL Haugaard
1
Off-the-shelf bin picking workcell with visual pose estimation: A case study on the world robot summit 2018 kitting task
F Hagelskjśr, KH Lorenzen, D Kraft
arXiv preprint arXiv:2309.16221, 2023
2023
A Framework for Facilitating the Set-up of Industrial Pose Estimation Systems
F Hagelskjśr
2019
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
2017
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Articles 1–20