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Frederik Hagelskjær

3 accepted papers

2026

Bootstrapping Self-Supervised Learning of Binary Classification Using Error Bounds: A Case Study on a Robotic Insertion Task

ICRA 2026poster

Flexible manufacturing requires rapid deployment of solutions and minimal setup time to remain competitive. An essential attribute is the ability to control error levels, as failures can range from minor performance degradation to severe equipment damage. However, conventional deployment often invol…

Cited by 0Scholar
2022

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

IROS 2022poster

Pose estimation is the task of determining the 6D position of an object in a scene. Pose estimation aid the abilities and flexibility of robotic set-ups. However, the system must be configured towards the use case to perform adequately. This configuration is time-consuming and limits the usability o…

Cited by 9SourceScholar
2019

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

IROS 2019poster

Vision systems are often used jointly with robotic manipulators to perform automated tasks in industrial applications. Still, the correct set up of such workcells is difficult and requires significant resources. One of the main challenges, when implementing such systems in industrial use cases, is t…

Cited by 11SourceScholar