research-article

Variability Modeling of Service Robots: Experiences and Challenges

Authors:

Sergio García,

Daniel Strüber,

Davide Brugali,

Alessandro Di Fava,

Philipp Schillinger,

Patrizio Pelliccione,

Thorsten BergerAuthors Info & Claims

VaMoS '19: Proceedings of the 13th International Workshop on Variability Modelling of Software-Intensive Systems

Article No.: 8, Pages 1 - 6

https://doi.org/10.1145/3302333.3302350

Published: 06 February 2019 Publication History

Abstract

Sensing, planning, controlling, and reasoning, are human-like capabilities that can be artificially replicated in an autonomous robot. Such a robot implements data structures and algorithms devised on a large spectrum of theories, from probability theory, mechanics, and control theory to ethology, economy, and cognitive sciences. Software plays a key role in the development of robotic systems, as it is the medium to embody intelligence in the machine. During the last years, however, software development is increasingly becoming the bottleneck of robotic systems engineering due to three factors: (a) the software development is mostly based on community efforts and it is not coordinated by key stakeholders; (b) robotic technologies are characterized by a high variability that makes reuse of software a challenging practice; and (c) robotics developers are usually not specifically trained in software engineering. In this paper, we illustrate our experiences from EU, academic, and industrial projects in identifying, modeling, and managing variability in the domain of service robots. We hope to raise awareness for the specific variability challenges in robotics software engineering and to inspire other researchers to advance this field.

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Cited By

Mahmood WÇalıklı GStrüber DLämmel RMukelabai MBerger T(2024)Virtual Platform: Effective and Seamless Variability Management for Software SystemsIEEE Transactions on Software Engineering10.1109/TSE.2024.340622450:11(2753-2785)Online publication date: Nov-2024
https://doi.org/10.1109/TSE.2024.3406224
Päßler Jter Beek MDamiani FJohnsen ETapia Tarifa S(2024)A Configurable Software Model of a Self-Adaptive Robotic SystemScience of Computer Programming10.1016/j.scico.2024.103221(103221)Online publication date: Oct-2024
https://doi.org/10.1016/j.scico.2024.103221
Nienaber SSoorati MGhasemzadeh AGhofrani J(2023)Software Product Lines for Development of Evolutionary RobotsProceedings of the 27th ACM International Systems and Software Product Line Conference - Volume B10.1145/3579028.3609018(77-84)Online publication date: 28-Aug-2023
https://dl.acm.org/doi/10.1145/3579028.3609018
Show More Cited By

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Published In

cover image ACM Other conferences

VaMoS '19: Proceedings of the 13th International Workshop on Variability Modelling of Software-Intensive Systems

February 2019

116 pages

ISBN:9781450366489

DOI:10.1145/3302333

Conference Chair:
Danny Weyns,
Program Chairs:
Gilles Perrouin,
Danny Weyns

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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FWO: Fund for Scientific Research - Flanders (Belgium)
FNRS: Fonds National de la Recherche Scientifique

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 February 2019

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VAMOS '19

VAMOS '19: 13th International Workshop on Variability Modelling of Software-Intensive Systems

February 6 - 8, 2019

Leuven, Belgium

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VaMoS '19 Paper Acceptance Rate 14 of 24 submissions, 58%;

Overall Acceptance Rate 66 of 147 submissions, 45%

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Cited By

Mahmood WÇalıklı GStrüber DLämmel RMukelabai MBerger T(2024)Virtual Platform: Effective and Seamless Variability Management for Software SystemsIEEE Transactions on Software Engineering10.1109/TSE.2024.340622450:11(2753-2785)Online publication date: Nov-2024
https://doi.org/10.1109/TSE.2024.3406224
Päßler Jter Beek MDamiani FJohnsen ETapia Tarifa S(2024)A Configurable Software Model of a Self-Adaptive Robotic SystemScience of Computer Programming10.1016/j.scico.2024.103221(103221)Online publication date: Oct-2024
https://doi.org/10.1016/j.scico.2024.103221
Nienaber SSoorati MGhasemzadeh AGhofrani J(2023)Software Product Lines for Development of Evolutionary RobotsProceedings of the 27th ACM International Systems and Software Product Line Conference - Volume B10.1145/3579028.3609018(77-84)Online publication date: 28-Aug-2023
https://dl.acm.org/doi/10.1145/3579028.3609018
Ghzouli RBerger TJohnsen EWasowski ADragule S(2023)Behavior Trees and State Machines in Robotics ApplicationsIEEE Transactions on Software Engineering10.1109/TSE.2023.326908149:9(4243-4267)Online publication date: Sep-2023
https://doi.org/10.1109/TSE.2023.3269081
Schindewolf MWittler JKühn TGrimm DSax E(2023)A Model-Based Approach to Automotive Feature Development for Updates and Upgrades2023 IEEE International Conference on Service-Oriented System Engineering (SOSE)10.1109/SOSE58276.2023.00009(19-26)Online publication date: Jul-2023
https://doi.org/10.1109/SOSE58276.2023.00009
Gil ERodrigues GPelliccione PCalinescu R(2023)Mission specification and decomposition for multi-robot systemsRobotics and Autonomous Systems10.1016/j.robot.2023.104386163:COnline publication date: 1-May-2023
https://dl.acm.org/doi/10.1016/j.robot.2023.104386
Wittler JKühn TReussner RFelfernig AFuentes L(2022)Towards an integrated approach for managing the variability and evolution of both software and hardware componentsProceedings of the 26th ACM International Systems and Software Product Line Conference - Volume B10.1145/3503229.3547059(94-98)Online publication date: 12-Sep-2022
https://dl.acm.org/doi/10.1145/3503229.3547059
Santos ACunha AMacedo NMelo SPereira R(2022)Variability Analysis for Robot Operating System Applications2022 Sixth IEEE International Conference on Robotic Computing (IRC)10.1109/IRC55401.2022.00028(111-118)Online publication date: Dec-2022
https://doi.org/10.1109/IRC55401.2022.00028
Valdezate ACapilla RCrespo JBarber R(2022)RuVa: A Runtime Software Variability AlgorithmIEEE Access10.1109/ACCESS.2022.317550510(52525-52536)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3175505
García SStrüber DBrugali DDi Fava APelliccione PBerger T(2022)Software variability in service roboticsEmpirical Software Engineering10.1007/s10664-022-10231-528:2Online publication date: 24-Dec-2022
https://dl.acm.org/doi/10.1007/s10664-022-10231-5
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