LLM-Driven Augmented Reality Puppeteer: Controller-Free Voice-Commanded Robot TeleoperationShow others and affiliations
2025 (English)In: Social Computing and Social Media - 17th International Conference, SCSM 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings, Springer Nature , 2025, p. 97-112Conference paper, Published paper (Refereed)
Abstract [en]
The integration of robotics and augmented reality (AR) presents transformative opportunities for advancing human-robot interaction (HRI) by improving usability, intuitiveness, and accessibility. This work introduces a controller-free, LLM-driven voice-commanded AR puppeteering system, enabling users to teleoperate a robot by manipulating its virtual counterpart in real-time. By leveraging natural language processing (NLP) and AR technologies, our system—prototyped using Meta Quest 3—eliminates the need for physical controllers, enhancing ease of use while minimizing potential safety risks associated with direct robot operation. A preliminary user demonstration successfully validated the system’s functionality, demonstrating its potential for safer, more intuitive, and immersive robotic control.
Place, publisher, year, edition, pages
Springer Nature , 2025. p. 97-112
Keywords [en]
AR puppeteer, Controller-free, LLM-driven
National Category
Robotics and automation Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:kth:diva-364402DOI: 10.1007/978-3-031-93539-8_7ISI: 001551225200007Scopus ID: 2-s2.0-105007131127OAI: oai:DiVA.org:kth-364402DiVA, id: diva2:1968216
Conference
17th International Conference on Social Computing and Social Media, SCSM 2025, held as part of the 27th HCI International Conference, HCII 2025, Gothenburg, Sweden, Jun 22 2025 - Jun 27 2025
Note
Part of ISBN 9783031935381
QC 20250613
2025-06-122025-06-122025-12-08Bibliographically approved