Puppeteer Your Robot: Augmented Reality Leader-Follower Teleoperation
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Abstract (arXiv)
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 website: https://ar-puppeteer.github.io/
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Jul 2024.
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Citing papers per year: 2024: 1; 2025: 2; 2026: 1.
4 papers.
- 2024ARCap: Collecting High-quality Human Demonstrations for Robot Learning with Augmented Reality Feedbackcited by 31
- 2025Real-Time Operator Takeover for Visuomotor Diffusion Policy Trainingcited by 5
- 2026Lucid-XR: An Extended-Reality Data Engine for Robotic Manipulationcited by 4
- 2025Hybrid Imitation Learning: Teleoperation Augmentation Primitives that Policies Learn to Triggercited by 0
- 2026Lucid-XR: An Extended-Reality Data Engine for Robotic Manipulation30 Apr 2026
- 2025Hybrid Imitation Learning: Teleoperation Augmentation Primitives that Policies Learn to Trigger4 Dec 2025
- 2025Real-Time Operator Takeover for Visuomotor Diffusion Policy Training4 Feb 2025
- 2024ARCap: Collecting High-quality Human Demonstrations for Robot Learning with Augmented Reality Feedback11 Oct 2024