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Frederik Hagelskjær
Frederik Hagelskjær
Assistant Professor at SDU
Подтвержден адрес электронной почты в домене mmmi.sdu.dk
Название
Процитировано
Процитировано
Год
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
392020
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
182020
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
162019
Does vision work well enough for industry?
F Hagelskjær, N Krüger, 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 Hagelskjær, A Kramberger, A Wolniakowski, TR Savarimuthu, N Krüger
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
82019
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
62022
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
52023
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
5*2021
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
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
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
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
32016
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
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, KH Lorenzen, D Kraft
arXiv preprint arXiv:2309.16221, 2023
2023
A Framework for Facilitating the Set-up of Industrial Pose Estimation Systems
F Hagelskjær
2019
Using Online Modelled Spatial Constraints for Pose Estimation in an Industrial Setting
KK Meyer, A Wolniakowski, F Hagelskjær, L Kiforenko, AG Buch, ...
Mechatronics and Robotics Engineering for Advanced and Intelligent …, 2017
2017
KeyMatchNet: Zero-Shot Pose Estimation in 3D Point Clouds by Generalized Keypoint Matching
F Hagelskjær, RL Haugaard
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Статьи 1–20