{"ID":2874194,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.05391","arxiv_id":"2509.05391","title":"Evaluating Magic Leap 2 Tool Tracking for AR Sensor Guidance in Industrial Inspections","abstract":"Rigorous evaluation of commercial Augmented Reality (AR) hardware is crucial, yet public benchmarks for tool tracking on modern Head-Mounted Displays (HMDs) are limited. This paper addresses this gap by systematically assessing the Magic Leap 2 (ML2) controllers tracking performance. Using a robotic arm for repeatable motion (EN ISO 9283) and an optical tracking system as ground truth, our protocol evaluates static and dynamic performance under various conditions, including realistic paths from a hydrogen leak inspection use case. The results provide a quantitative baseline of the ML2 controller's accuracy and repeatability and present a robust, transferable evaluation methodology. The findings provide a basis to assess the controllers suitability for the inspection use case and similar industrial sensor-based AR guidance tasks.","short_abstract":"Rigorous evaluation of commercial Augmented Reality (AR) hardware is crucial, yet public benchmarks for tool tracking on modern Head-Mounted Displays (HMDs) are limited. This paper addresses this gap by systematically assessing the Magic Leap 2 (ML2) controllers tracking performance. Using a robotic arm for repeatable...","url_abs":"https://arxiv.org/abs/2509.05391","url_pdf":"https://arxiv.org/pdf/2509.05391v1","authors":"[\"Christian Masuhr\",\"Julian Koch\",\"Thorsten Schüppstuhl\"]","published":"2025-09-05T10:13:28Z","proceeding":"cs.RO","tasks":"[\"cs.RO\",\"cs.HC\",\"cs.MM\"]","methods":"[]","has_code":false}