UNDERWORLDS: Cascading Situation Assessment for Robots

S Lemaignan, Y Sallami, C Wallhridge, A Clodic, T Belpaeme, R Alami

Research output: Contribution to journalConference proceedings published in a journalpeer-review

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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.
Original languageEnglish
Number of pages0
Journal2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Volume0
Issue number0
DOIs
Publication statusPublished - 7 Jan 2019
Event2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) -
Duration: 1 Oct 20185 Oct 2018

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