LLM-Driven Augmented Reality Puppeteer: Controller-Free Voice-Commanded Robot Teleoperation

Fuente: arXiv
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Auteurs principaux: Zhang, Yuchong, Orthmann, Bastian, Welle, Michael C., Van Haastregt, Jonne, Kragic, Danica
Format: Preprint
Publié: 2025
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author Zhang, Yuchong
Orthmann, Bastian
Welle, Michael C.
Van Haastregt, Jonne
Kragic, Danica
author_facet Zhang, Yuchong
Orthmann, Bastian
Welle, Michael C.
Van Haastregt, Jonne
Kragic, Danica
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2502_09142
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle LLM-Driven Augmented Reality Puppeteer: Controller-Free Voice-Commanded Robot Teleoperation
Zhang, Yuchong
Orthmann, Bastian
Welle, Michael C.
Van Haastregt, Jonne
Kragic, Danica
Human-Computer Interaction
Robotics
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.
title LLM-Driven Augmented Reality Puppeteer: Controller-Free Voice-Commanded Robot Teleoperation
topic Human-Computer Interaction
Robotics
url https://arxiv.org/abs/2502.09142