6 citations · 6 across the 4 of their papers we have counts for
5 papers · 1 filter
Towards High Precision: An Adaptive Self-Supervised Learning Framework for Force-Based Verification
Zebin Duan, Frederik Hagelskjær, Aljaz Kramberger +2
The automation of robotic tasks requires high precision and adaptability, particularly in force-based operations such as insertions. Traditional learning-based approaches either re…
A General Peg-in-Hole Assembly Policy Based on Domain Randomized Reinforcement Learning
Xinyu Liu, Aljaz Kramberger, Leon Bodenhagen
Generalization is important for peg-in-hole assembly, a fundamental industrial operation, to adapt to dynamic industrial scenarios and enhance manufacturing efficiency. While prior…
Robotic Task Success Evaluation Under Multi-modal Non-Parametric Object Pose Uncertainty
Lakshadeep Naik, Thorbjørn Mosekjær Iversen, Aljaz Kramberger +1
Accurate 6D object pose estimation is essential for various robotic tasks. Uncertain pose estimates can lead to task failures; however, a certain degree of error in the pose estima…
A Flexible and Robust Vision Trap for Automated Part Feeder Design
Rasmus Laurvig Haugaard, Thorbjørn Mosekjær Iversen, Anders Glent Buch +2
Fast, robust, and flexible part feeding is essential for enabling automation of low volume, high variance assembly tasks. An actuated vision-based solution on a traditional vibrato…
Dynamic Movement Primitives in Robotics: A Tutorial Survey
Matteo Saveriano, Fares J. Abu-Dakka, Aljaz Kramberger +1
Biological systems, including human beings, have the innate ability to perform complex tasks in versatile and agile manner. Researchers in sensorimotor control have tried to unders…