Communicating Robot Arm Motion Intent Through Mixed Reality Head-mounted Displays
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Abstract (arXiv)
Efficient motion intent communication is necessary for safe and collaborative work environments with collocated humans and robots. Humans efficiently communicate their motion intent to other humans through gestures, gaze, and social cues. However, robots often have difficulty efficiently communicating their motion intent to humans via these methods. Many existing methods for robot motion intent communication rely on 2D displays, which require the human to continually pause their work and check a visualization. We propose a mixed reality head-mounted display visualization of the proposed robot motion over the wearer's real-world view of the robot and its environment. To evaluate the effectiveness of this system against a 2D display visualization and against no visualization, we asked 32 participants to labeled different robot arm motions as either colliding or non-colliding with blocks on a table. We found a 16% increase in accuracy with a 62% decrease in the time it took to complete the task compared to the next best system. This demonstrates that a mixed-reality HMD allows a human to more quickly and accurately tell where the robot is going to move than the compared baselines.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Aug 2017.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 2; 2025: 0; 2026: 1.
6 papers.
- 2022Augmented Reality and Robotics: A Survey and Taxonomy for AR-enhanced Human-Robot Interaction and Robotic Interfacescited by 19
- 2022Virtual, Augmented, and Mixed Reality for Human-Robot Interaction: A Survey and Virtual Design Element Taxonomycited by 5
- 2021Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaborationcited by 4
- 2024Extended Reality System for Robotic Learning from Human Demonstrationcited by 0
- 2024RAMPA: Robotic Augmented Reality for Machine Programming by DemonstrAtioncited by 0
- 2026MR-SLAM: Immersive Spatial Supervision for Multi-Robot Mapping via Mixed Realitycited by 0
- 2026MR-SLAM: Immersive Spatial Supervision for Multi-Robot Mapping via Mixed Reality14 May 2026
- 2024RAMPA: Robotic Augmented Reality for Machine Programming by DemonstrAtion17 Oct 2024
- 2024Extended Reality System for Robotic Learning from Human Demonstration19 Sep 2024
- 2022Augmented Reality and Robotics: A Survey and Taxonomy for AR-enhanced Human-Robot Interaction and Robotic Interfaces7 Mar 2022
- 2022Virtual, Augmented, and Mixed Reality for Human-Robot Interaction: A Survey and Virtual Design Element Taxonomy23 Feb 2022
- 2021Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration6 Mar 2021