Follow
Frederik Hagelskjśr
Frederik Hagelskjśr
PostDoc 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
282020
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
132019
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
102020
Does vision work well enough for industry?
F Hagelskjśr, N KrŁger, AG Buch
Visapp, 2018
102018
Compensating pose uncertainties through appropriate gripper finger cutouts
A Wolniakowski, A Gams, A Kramberger, A Ude
acta mechanica et automatica 12 (1), 78-83, 2018
92018
Bayesian Optimization of 3D Feature Parameters for 6D Pose Estimation.
F Hagelskjśr, N KrŁger, AG Buch
VISIGRAPP (5: VISAPP), 135-142, 2019
42019
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
3*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
32019
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
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
22022
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
12022
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
12022
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
SpyroPose: Importance Sampling Pyramids for Object Pose Distribution Estimation in SE (3)
RL Haugaard, F Hagelskjśr, TM Iversen
arXiv preprint arXiv:2303.05308, 2023
2023
SpyroPose: Importance Sampling Pyramids for Object Pose Distribution Estimation in SE (3)
R Laurvig Haugaard, F Hagelskjśr, T Mosekjśr Iversen
arXiv e-prints, arXiv: 2303.05308, 2023
2023
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
2022
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
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, ...
The system can't perform the operation now. Try again later.
Articles 1–20