14 citations · 14 across the 2 of their papers we have counts for
3 papers
A Practical Roadmap to Learning from Demonstration for Robotic Manipulators in Manufacturing
Alireza Barekatain, Hamed Habibi, Holger Voos
This paper provides a structured and practical roadmap for practitioners to integrate Learning from Demonstration (LfD ) into manufacturing tasks, with a specific focus on industri…
Synthetic Dataset Generation and Learning From Demonstration Applied to Industrial Manipulation
Alireza Barekatain, Hamed Rahimi Nohooji, Holger Voos
The aim of this study is to investigate an automated industrial manipulation pipeline, where assembly tasks can be flexibly adapted to production without the need for a robotic exp…
DFL-TORO: A One-Shot Demonstration Framework for Learning Time-Optimal Robotic Manufacturing Tasks
Alireza Barekatain, Hamed Habibi, Holger Voos
This paper presents DFL-TORO, a novel Demonstration Framework for Learning Time-Optimal Robotic tasks via One-shot kinesthetic demonstration. It aims at optimizing the process of L…