Augmented-Reality-Based Visualization of Navigation Data of Mobile Robots on the Microsoft Hololens -- Possibilities and Limitations
This addresses the challenge of human-robot interaction for non-experts in robotics by enhancing data visualization, though it is incremental as it applies existing AR technology to a specific domain.
The paper tackled the problem of visualizing complex navigation data from mobile robots for non-experts by proposing an approach using the Microsoft HoloLens for 3D augmented reality visualization, and found that the HoloLens is capable of proper visualization of huge amounts of sensor data but has limitations when handling multiple data types simultaneously.
The demand for mobile robots has rapidly increased in recent years due to the flexibility and high variety of application fields comparing to static robots. To deal with complex tasks such as navigation, they work with high amounts of different sensor data making it difficult to operate with for non-experts. To enhance user understanding and human robot interaction, we propose an approach to visualize the navigation stack within a cutting edge 3D Augmented Reality device -- the Microsoft Hololens. Therefore, relevant navigation stack data including laser scan, environment map and path planing data are visualized in 3D within the head mounted device. Based on that prototype, we evaluate the Hololens in terms of computational capabilities and limitations for dealing with huge amount of real-time data. Results show that the Hololens is capable of a proper visualization of huge amounts of sensor data. We demonstrate a proper visualization of navigation stack data in 3D within the Hololens. However, there are limitations when transferring and displaying different kinds of data simultaneously.