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; et al. (SIMPAR, 2016)

A Novel 2.5D Feature Descriptor Compensating for Depth Rotation. - Frederik Hagelskjær; Norbert Krüger; Anders Glent Buch (VISIGRAPP (4: VISAPP), 2017)

Does Vision Work Well Enough for Industry? - Frederik Hagelskjær; Anders Glent Buch; Norbert Krüger (VISIGRAPP (4: VISAPP), 2018)

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 (CASE, 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 (IROS, 2019)

Bayesian Optimization of 3D Feature Parameters for 6D Pose Estimation. - Frederik Hagelskjær; Norbert Krüger; Anders Glent Buch (VISIGRAPP (5: VISAPP), 2019)

PointPoseNet: Accurate Object Detection and 6 DoF Pose Estimation in Point Clouds. - Frederik Hagelskjær; Anders Glent Buch (CoRR, 2019)

Pointvotenet: Accurate Object Detection And 6 DOF Pose Estimation In Point Clouds. - Frederik Hagelskjær; Anders Glent Buch (ICIP, 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; et al. (Adv. Robotics, 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)

Bridging the Reality Gap for Pose Estimation Networks using Sensor-Based Domain Randomization. - Frederik Hagelskjær; Anders Glent Buch (ICCVW, 2021)

In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole Components. - Frederik Hagelskjær; Dirk Kraft (CASE, 2022)

Deep Learning Classification of Large-Scale Point Clouds: A Case Study on Cuneiform Tablets. - Frederik Hagelskjær (ICIP, 2022)

ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data. - Frederik Hagelskjær; Anders Glent Buch (IROS, 2022)

SpyroPose: SE(3) Pyramids for Object Pose Distribution Estimation. - Rasmus Laurvig Haugaard; Frederik Hagelskjær; Thorbjørn Mosekjær Iversen (ICCV (Workshops), 2023)

SpyroPose: Importance Sampling Pyramids for Object Pose Distribution Estimation in SE(3). - Rasmus Laurvig Haugaard; Frederik Hagelskjær; Thorbjørn Mosekjær Iversen (CoRR, 2023)

GP3D: Generalized Pose Estimation in 3D Point Clouds: A case study on bin picking. - Frederik Hagelskjær (CoRR, 2023)

KeyMatchNet: Zero-Shot Pose Estimation in 3D Point Clouds by Generalized Keypoint Matching. - Frederik Hagelskjær; Rasmus Laurvig Haugaard (CASE, 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 (UR, 2024)

Good Grasps Only: A data engine for self-supervised fine-tuning of pose estimation using grasp poses for verification. - Frederik Hagelskjær (SII, 2025)

ArrowPose: Segmentation, Detection, and 5 DoF Pose Estimation Network for Colorless Point Clouds. - Frederik Hagelskjaer (CoRR, 2025)