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Puppeteer Your Robot: Augmented Reality Leader-Follower Teleoperation
KTH, School of Electrical Engineering and Computer Science (EECS).
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0003-3827-3824
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0003-1804-6296
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0003-2965-2953
2024 (English)In: 2024 IEEE-RAS 23rd International Conference on Humanoid Robots, Humanoids 2024, Institute of Electrical and Electronics Engineers (IEEE) , 2024, p. 1019-1026Conference paper, Published paper (Refereed)
Abstract [en]

High-quality demonstrations are necessary when learning complex and challenging manipulation tasks. In this work, we introduce an approach to puppeteer a robot by controlling a virtual robot in an augmented reality setting. Our system allows for retaining the advantages of being intuitive from a physical leader-follower side while avoiding the unnecessary use of expensive physical setup. In addition, the user is endowed with additional information using augmented reality. We validate our system with a pilot study n = 10 on a block stacking and rice scooping tasks where the majority rates the system favorably. Oculus App and corresponding ROS code are available on the project website1. 1https://ar-puppeteer.github.io/

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2024. p. 1019-1026
National Category
Robotics and automation Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-367218DOI: 10.1109/Humanoids58906.2024.10769593ISI: 001455030600116Scopus ID: 2-s2.0-85213469421OAI: oai:DiVA.org:kth-367218DiVA, id: diva2:1984317
Conference
23rd IEEE-RAS International Conference on Humanoid Robots, Humanoids 2024, Nancy, France, November 22-24, 2024
Note

Part of ISBN 9798350373578

QC 20250715

Available from: 2025-07-15 Created: 2025-07-15 Last updated: 2025-07-31Bibliographically approved

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van Haastregt, JonneWelle, Michael C.Zhang, YuchongKragic Jensfelt, Danica

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van Haastregt, JonneWelle, Michael C.Zhang, YuchongKragic Jensfelt, Danica
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School of Electrical Engineering and Computer Science (EECS)Robotics, Perception and Learning, RPL
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