Projective- AR Assistance System for shared Human-Robot Workplaces in Industrial Applications
| Autor: | Christian Vogel, Erik Schulenburg, Norbert Elkmann |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry 05 social sciences 050301 education 050801 communication & media studies Robotics Workspace Human–robot interaction Field (computer science) Visualization Information visualization 0508 media and communications Human–computer interaction Robot Augmented reality Artificial intelligence business 0503 education |
| Zdroj: | ETFA |
| DOI: | 10.1109/etfa46521.2020.9211953 |
| Popis: | Projective Augmented Reality (AR) systems are widely used in robotics. Main applications include information visualization to illustrate the intention of a robot or mobile platform, failure modes or teaching. A new topic in the field of projective AR for human-robot cooperation (HRC) states the visualization of safety-related information. In this industry practice paper, we present a system and method that realizes the illustration of safety zones monitored by laser-scanners. Furthermore, the system was build-up at a real industrial application with human- robot coexistence in a shared workspace. |
| Databáze: | OpenAIRE |
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