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Bremner, Paul (2022) Robots for nuclear environments - Impact of resolution, colour, and motion on object identification in digital twins from robot sensor data. UWE https://researchdata.uwe.ac.uk/id/eprint/673/
Brief summary of project
The RNE project aims to enable teleoperation of multi-robot teams for nuclear decommissioning. Data from the multi-robot team is used to dynamically construct a virtual environment that can be explored in virtual reality, and utilised to teleoperate the robots. This study aims to investigate the utility of different rendering approaches for this data, and how user perception impacts user interface design decisions.
| Uncontrolled Keywords: | Virtual Environments, Digital Twins, Object Recognition |
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| UWE College/School: | College of Arts, Technology and Environment |
| Creators: | Bremner, Paul |
| URI: | https://researchdata.uwe.ac.uk/id/eprint/673 |
| Data collection method: | In an online user study 240 participants were tasked to identify real-world objects from robot point cloud data. In the study we manipulated the render style (point clouds vs voxels), render resolution (i.e., density of point clouds and granularity of voxel grids), colour (monochrome vs coloured points/voxels), and motion (no motion vs rotational motion) of the shown objects to measure the impact of these attributes on object recognition performance. The data enables analysis of each of these render paremeters and the interactions between them. |
| Resource language: | English |
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