Abstract
We introduce UNDERWORLDS, a novel lightweight framework for cascading spatio-temporal situation assessment in robotics. UNDERWORLDS allows programmers to represent the robot's environment as real-time distributed data structures, containing both scene graphs (for representation of 3D geometries) and timelines (for representation of temporal events). UNDERWORLDS supports cascading representations: the environment is viewed as a set of worlds that can each have different spatial and temporal granularities, and may inherit from each other. UNDERWORLDS also provides a set of high-level client libraries and tools to introspect and manipulate the environment models. This article presents the design and architecture of this open-source tool, and explores some applications, along with examples of use.
DOI
10.1109/iros.2018.8594094
Publication Date
2019-01-07
Publication Title
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Embargo Period
2020-03-18
Organisational Unit
School of Engineering, Computing and Mathematics
Recommended Citation
Lemaignan, S., Sallami, Y., Wallhridge, C., Clodic, A., Belpaeme, T., & Alami, R. (2019) 'UNDERWORLDS: Cascading Situation Assessment for Robots', 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), . Available at: https://doi.org/10.1109/iros.2018.8594094
