Frederik Hagelskjær

According to our database, Frederik Hagelskjær authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Good Grasps Only: A data engine for self-supervised fine-tuning of pose estimation using grasp poses for verification.

Frederik Hagelskjær

CoRR, 2024

Off-the-Shelf Bin Picking Workcell with Visual Pose Estimation: A Case Study on the World Robot Summit 2018 Kitting Task.

Frederik Hagelskjær, Kasper Høj Lorenzen, Dirk Kraft

Proceedings of the 21st International Conference on Ubiquitous Robots, 2024

KeyMatchNet: Zero-Shot Pose Estimation in 3D Point Clouds by Generalized Keypoint Matching.

Frederik Hagelskjær, Rasmus Laurvig Haugaard

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

GP3D: Generalized Pose Estimation in 3D Point Clouds: A case study on bin picking.

Frederik Hagelskjær

CoRR, 2023

SpyroPose: Importance Sampling Pyramids for Object Pose Distribution Estimation in SE(3).

Rasmus Laurvig Haugaard, Frederik Hagelskjær, Thorbjørn Mosekjær Iversen

CoRR, 2023

SpyroPose: SE(3) Pyramids for Object Pose Distribution Estimation.

Rasmus Laurvig Haugaard, Frederik Hagelskjær, Thorbjørn Mosekjær Iversen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data.

Frederik Hagelskjær, Anders Glent Buch

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Deep Learning Classification of Large-Scale Point Clouds: A Case Study on Cuneiform Tablets.

Frederik Hagelskjær

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole Components.

Frederik Hagelskjær, Dirk Kraft

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

Bridging the Reality Gap for Pose Estimation Networks using Sensor-Based Domain Randomization.

Frederik Hagelskjær, Anders Glent Buch

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Bridging the Performance Gap Between Pose Estimation Networks Trained on Real And Synthetic Data Using Domain Randomization.

Frederik Hagelskjær, Anders Glent Buch

CoRR, 2020

Towards robot cell matrices for agile production - SDU Robotics' assembly cell at the WRC 2018.

Christian Schlette, Anders Glent Buch, Frederik Hagelskjær, Iñigo Iturrate, Dirk Kraft, Aljaz Kramberger, Anders P. Lindvig, Simon Mathiesen, Henrik Gordon Petersen, Mads Høj Rasmussen, Thiusius R. Savarimuthu, Christoffer Sloth, Lars Carøe Sørensen, Thomas Nicky Thulesen

Adv. Robotics, 2020

Pointvotenet: Accurate Object Detection And 6 DOF Pose Estimation In Point Clouds.

Frederik Hagelskjær, Anders Glent Buch

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

PointPoseNet: Accurate Object Detection and 6 DoF Pose Estimation in Point Clouds.

Frederik Hagelskjær, Anders Glent Buch

CoRR, 2019

Bayesian Optimization of 3D Feature Parameters for 6D Pose Estimation.

Frederik Hagelskjær, Norbert Krüger, Anders Glent Buch

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Combined Optimization of Gripper Finger Design and Pose Estimation Processes for Advanced Industrial Assembly.

Frederik Hagelskjær, Aljaz Kramberger, Adam Wolniakowski, Thiusius Rajeeth Savarimuthu, Norbert Krüger

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Using spatial constraints for fast set-up of precise pose estimation in an industrial setting.

Frederik Hagelskjær, Thiusius Rajeeth Savarimuthu, Norbert Krüger, Anders Glent Buch

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018

Does Vision Work Well Enough for Industry?

Frederik Hagelskjær, Anders Glent Buch, Norbert Krüger

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

2017

A Novel 2.5D Feature Descriptor Compensating for Depth Rotation.

Frederik Hagelskjær, Norbert Krüger, Anders Glent Buch

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017

2016

Optimizing grippers for compensating pose uncertainties by dynamic simulation.

Adam Wolniakowski, Aljaz Kramberger, Andrej Gams, Dimitrios Chrysostomou, Frederik Hagelskjær, Thomas Nicky Thulesen, Lilita Kiforenko, Anders Glent Buch, Leon Bodenhagen, Henrik Gordon Petersen, Ole Madsen, Ales Ude, Norbert Krüger

Proceedings of the 2016 IEEE International Conference on Simulation, 2016