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Frederik Hagelskjær
Frederik Hagelskjær
Assistant Professor at SDU
在 mmmi.sdu.dk 的电子邮件经过验证
标题
引用次数
引用次数
年份
Pointvotenet: Accurate object detection and 6 dof pose estimation in point clouds
F Hagelskjær, AG Buch
2020 IEEE International Conference on Image Processing (ICIP), 2641-2645, 2020
422020
Towards robot cell matrices for agile production–SDU Robotics' assembly cell at the WRC 2018
C Schlette, AG Buch, F Hagelskjær, I Iturrate, D Kraft, A Kramberger, ...
Advanced Robotics 34 (7-8), 422-438, 2020
192020
Using spatial constraints for fast set-up of precise pose estimation in an industrial setting
F Hagelskjær, TR Savarimuthu, N Krüger, AG Buch
2019 IEEE 15th International Conference on Automation Science and …, 2019
172019
Does vision work well enough for industry?
F Hagelskjær, N Krüger, AG Buch
Visapp, 2018
122018
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 Hagelskjær, A Kramberger, A Wolniakowski, TR Savarimuthu, N Krüger
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
102019
Parapose: Parameter and domain randomization optimization for pose estimation using synthetic data
F Hagelskjær, AG Buch
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
72022
Bridging the reality gap for pose estimation networks using sensor-based domain randomization
F Hagelskjær, 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 Hagelskjær, 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 Hagelskjær, N Krüger, AG Buch
14th International Conference on Computer Vision Theory and Applications …, 2019
42019
Optimizing grippers for compensating pose uncertainties by dynamic simulation
A Wolniakowski, A Kramberger, A Gams, D Chrysostomou, F Hagelskjær, ...
2016 IEEE International Conference on Simulation, Modeling, and Programming …, 2016
42016
Deep learning classification of large-scale point clouds: A case study on cuneiform tablets
F Hagelskjær
2022 IEEE International Conference on Image Processing (ICIP), 826-830, 2022
32022
Towards flexible pcb assembly using simulation-based optimization
S Mathiesen, LC Sørensen, TM Iversen, F Hagelskjær, D Kraft
Towards Sustainable Customization: Bridging Smart Products and Manufacturing …, 2022
32022
A Novel 2.5 D Feature Descriptor Compensating for Depth Rotation
F Hagelskjær, AG Buch, N Krüger
Visapp, 2017
32017
Keymatchnet: Zero-shot pose estimation in 3d point clouds by generalized keypoint matching
F Hagelskjær, RL Haugaard
arXiv preprint arXiv:2303.16102, 2023
2*2023
In-hand pose estimation and pin inspection for insertion of through-hole components
F Hagelskjær, D Kraft
2022 IEEE 18th International Conference on Automation Science and …, 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
Off-the-shelf bin picking workcell with visual pose estimation: A case study on the world robot summit 2018 kitting task
F Hagelskjær, D Kraft
2024 21st International Conference on Ubiquitous Robots (UR), 145-152, 2024
2024
Majority of potable water microplastics are smaller than the 20 µm EU methodology limit for consumable water quality
O Hagelskjær, F Hagelskjær, H Margenat, N Yakovenko, J Sonke, ...
EarthArXiv, 2024
2024
The temporal evolution of long-range atmospheric microplastic deposition
O Hagelskjær, F Hagelskjær, JE Sonke, H Margenat, N Yakovenko, ...
EGU24, 2024
2024
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