LLM-Driven Augmented Reality Puppeteer: Controller-Free Voice-Commanded Robot Teleoperation
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Feb 2025.
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Citing papers per year: 2025: 3; 2026: 1.
4 papers.
- 2025A Study of the Framework and Real-World Applications of Language Embedding for 3D Scene Understandingcited by 0
- 2025Voice-Interactive Surgical Agent for Multimodal Patient Data Controlcited by 0
- 2025Hybrid Imitation Learning: Teleoperation Augmentation Primitives that Policies Learn to Triggercited by 0
- 2026Strategy-Supervised Autonomous Laparoscopic Camera Control via Event-Driven Graph Miningcited by 0
- 2026Strategy-Supervised Autonomous Laparoscopic Camera Control via Event-Driven Graph Mining24 Feb 2026
- 2025Hybrid Imitation Learning: Teleoperation Augmentation Primitives that Policies Learn to Trigger4 Dec 2025
- 2025Voice-Interactive Surgical Agent for Multimodal Patient Data Control10 Nov 2025
- 2025A Study of the Framework and Real-World Applications of Language Embedding for 3D Scene Understanding7 Aug 2025