Abstract
Capturing and quantifying the performance of augmented reality (AR) or virtual reality (VR) devices during test and development has traditionally been a labor-intensive and subjective task undertaken by human testers. This disclosure describes robot-based techniques of testing AR/VR devices. By integrating robotic arms, computer vision, speakers, displays, and microphones into a unified testing suite, the techniques address the challenges of labor-intensiveness, variability, and uncertainty of traditional AR/VR testing. The techniques provide objective and consistent ground-truth data, enabling precise measurement of both hardware and software performance. The techniques can enable AR/VR developers and manufacturers to make data-driven decisions to optimize their products with a level of accuracy difficult to achieve with human testers. For example, in an AI companion test with an AR device, the described tester can automatically flash the device, execute AI companion functionality, render visuals on an electronic display, profile performance, monitor temperature, capture images with an external camera, record audio responses and activation times, and maintain device charging.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Chen, Yang; Noori, Narges; Guo, Chao; Lu, Chen; Jia, Luke; Kenyon, Chris; and Yuan, Sean, "Unified Robotic Benchmarking Platform for Augmented or Virtual Reality", Technical Disclosure Commons, (January 14, 2025)
https://www.tdcommons.org/dpubs_series/7726