| 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 | 28 | 2020 |
| 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 | 13 | 2019 |
| 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 | 10 | 2020 |
| Does vision work well enough for industry? F Hagelskjær, N Krüger, AG Buch Visapp, 2018 | 10 | 2018 |
| 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 | 9 | 2018 |
| Bayesian Optimization of 3D Feature Parameters for 6D Pose Estimation. F Hagelskjær, N Krüger, AG Buch VISIGRAPP (5: VISAPP), 135-142, 2019 | 4 | 2019 |
| 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 | 3* | 2021 |
| 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 | 3 | 2019 |
| A Novel 2.5 D Feature Descriptor Compensating for Depth Rotation F Hagelskjær, AG Buch, N Krüger Visapp, 2017 | 3 | 2017 |
| 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 | 3 | 2016 |
| 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 | 2 | 2022 |
| 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 | 1 | 2022 |
| 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 | 1 | 2022 |
| 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 | 1 | 2016 |
| SpyroPose: Importance Sampling Pyramids for Object Pose Distribution Estimation in SE (3) RL Haugaard, F Hagelskjær, 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 Hagelskjær, T Mosekjær Iversen arXiv e-prints, arXiv: 2303.05308, 2023 | | 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 | | 2022 |
| 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 |
| 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 Krüger, ... | | |
Anders Glent BuchMediaCatchVerified email at mmmi.sdu.dk
