Extended behavior trees for quick definition of flexible robotic tasks

Francesco Rovida, Bjarne Grossmann, Volker Kruger

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71 Citationer (Scopus)

Abstract

The requirement of flexibility in the modern industries demands robots that can be efficiently and quickly adapted to different tasks. A way to achieve such a flexible programming paradigm is to instruct robots with task goals and leave planning algorithms to deduct the correct sequence of actions to use in the specific context. A common approach is to connect the skills that realize a semantically defined operation in the planning domain - such as picking or placing an object - to specific executable functions. As a result the skills are treated as independent components, which results into suboptimal execution. In this paper we present an approach where the execution procedures and the planning domain are specified at the same time using solely extended Behavior Trees (eBT), a model formalized and discussed in this paper. At run-time, the robot can use the more abstract skills to plan a sequence using a PDDL planner, expand the sequence into a hierarchical tree, and re-organize it to optimize the time of execution and the use of resources. The optimization is demonstrated on a kitting operation in both simulation and lab environment, showing up to 20% save in the final execution time.

OriginalsprogEngelsk
TitelIEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
Antal sider8
Vol/bind2017-September
ForlagIEEE
Publikationsdato13 dec. 2017
Sider6793-6800
Artikelnummer8206598
ISBN (Elektronisk)978-1-5386-2682-5
DOI
StatusUdgivet - 13 dec. 2017
Begivenhed2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 - Vancouver, Canada
Varighed: 24 sep. 201728 sep. 2017

Konference

Konference2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017
Land/OmrådeCanada
ByVancouver
Periode24/09/201728/09/2017
SponsorAIRA, Amazon, Bosch, Clearpath, et al., Guangdong University of Technology
NavnI E E E International Conference on Intelligent Robots and Systems. Proceedings
ISSN2153-0858

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