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UNDERWORLDS: Cascading situation assessment for robots

Wallhridge, Christopher; Lemaignan, Severin; Sallami, Yoan; Wallbridge, Christopher; Clodic, Aur�lie; Belpaeme, Tony; Alami, Rachid

Authors

Christopher Wallhridge

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Severin Lemaignan Severin.Lemaignan@uwe.ac.uk
Associate Professor in Social Robotics and AI

Yoan Sallami

Christopher Wallbridge

Aur�lie Clodic

Tony Belpaeme

Rachid Alami



Abstract

© 2018 IEEE. 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.

Citation

Wallhridge, C., Lemaignan, S., Sallami, Y., Wallbridge, C., Clodic, A., Belpaeme, T., & Alami, R. (2018). UNDERWORLDS: Cascading situation assessment for robots. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems, 7750-7757. https://doi.org/10.1109/IROS.2018.8594094

Journal Article Type Conference Paper
Conference Name 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Conference Location Madrid, Spain
Acceptance Date Jun 1, 2018
Online Publication Date Jan 7, 2019
Publication Date Dec 27, 2018
Deposit Date Nov 26, 2019
Journal IEEE International Conference on Intelligent Robots and Systems
Print ISSN 2153-0858
Electronic ISSN 2153-0866
Pages 7750-7757
Series ISSN 2153-0866
ISBN 9781538680940
DOI https://doi.org/10.1109/IROS.2018.8594094
Public URL https://uwe-repository.worktribe.com/output/4742978