Variability Modeling of Service Robots

García, Sergio; Strüber, Daniel; Brugali, Davide; Fava, Alessandro Di; Schillinger, Philipp; Pelliccione, Patrizio; Berger, Thorsten

doi:10.1145/3302333.3302350

Cited by 26 publications

(26 citation statements)

References 20 publications

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“…In this section, we first present in detail nine of the major challenges that we identified during the first phase of our study (see Fig. 1) from the exploratory interviews, our experiences, and literature (specifically, the studies of Brugali [10], Bures [17], and García [26]). We quantified the relevance of these challenges in the study's second phase through the survey.…”

Section: Challenges and Solutions (Rq3)mentioning

confidence: 99%

“…It is considered a challenge by 62% of the respondents. Dynamic adaptation is becoming an important topic for academic and industrial practitioners, as service robots are expected to adapt to environment conditions [26]. This challenge is tightly related with robustness (i.e., autonomy).…”

Section: Challenges and Solutions (Rq3)mentioning

confidence: 99%

“…Almost half of the respondents (48%) consider mission specification a challenge, being a key issue to make it easy enough for end-users. Also, mission specification mechanisms should enable users to express łexceptional" behaviors to specify how robots ought to cope with the variability of conditions of application scenarios in real environments in which robots are required to operate [26]. This is especially problematic in scenarios involving humans (obs 11).…”

Section: Observation 15 (Lack Of Documentation and Established Convenmentioning

confidence: 99%

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Robotics software engineering: a perspective from the service robotics domain

García

Strüber

Brugali

et al. 2020

Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Softw

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Robots that support humans by performing useful tasks (a.k.a., service robots) are booming worldwide. In contrast to industrial robots, the development of service robots comes with severe software engineering challenges, since they require high levels of robustness and autonomy to operate in highly heterogeneous environments. As a domain with critical safety implications, service robotics faces a need for sound software development practices. In this paper, we present the first large-scale empirical study to assess the state of the art and practice of robotics software engineering. We conducted 18 semi-structured interviews with industrial practitioners working in 15 companies from 9 different countries and a survey with 156 respondents from 26 countries from the robotics domain. Our results provide a comprehensive picture of (i) the practices applied by robotics industrial and academic practitioners, including processes, paradigms, languages, tools, frameworks, and reuse practices, (ii) the distinguishing characteristics of robotics software engineering, and (iii) recurrent challenges usually faced, together with adopted solutions. The paper concludes by discussing observations, derived hypotheses, and proposed actions for researchers and practitioners. CCS CONCEPTS • Computer systems organization → Robotics; • Software and its engineering;

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Section: Challenges and Solutions (Rq3)mentioning

confidence: 99%

Section: Challenges and Solutions (Rq3)mentioning

confidence: 99%

Section: Observation 15 (Lack Of Documentation and Established Convenmentioning

confidence: 99%

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Robotics software engineering: a perspective from the service robotics domain

García

Strüber

Brugali

et al. 2020

Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Softw

Self Cite

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“…In this context of the environment, the robots have to make plans and decisions, and execute them in the form of its behaviors [31], as one integrated system. Intelligent robots with independent capability, so-called service robots, have been extended to work (perform tasks) in non-manufacturing environments, such as homes, hospitals, offices, and so on, to provide services to humans [32]- [34]. A robot is a machine, and robot control systems are controllers.…”

Section: Roboticsmentioning

confidence: 99%

A Systematic Review on Fusion Techniques and Approaches Used in Applications

Jusoh

Almajali

2020

IEEE Access

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Fusion technologies have rapidly evolved. These technologies are normally customized according to the needs of domains. Despite a large number of publications on intelligence fusion applications for various domains, they are scattered. The aim of this review is to present the state of the art for intelligence fusion applications within a specific domain. We identified three major domains for the purpose, namely robotics, military, and healthcare, during the initial process of the systematic review. These three domains are always in need of superior intelligence. Articles were searched mainly in IEEE Xplore. We limit the range of publications to the year 2014 to 2019, to focus on the most recent publications. We adopt the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol to screen, filter and evaluate qualities of each retrieved article. As a result, we retrieved 675 articles at the initial stage of the search, we conducted screening and filtering process and reviewed 153 articles potential articles, and finally, we excluded 36 articles as they do not comply with our quality assessment criteria. Only 117 articles are included. The results of this study are a list of classified applications within the domains and a number of relevant techniques or approaches used in each classified application. The finding of this review showed that the most published works for the use of intelligence fusion are mainly applications in the robotics domain, where mostly used techniques are Kalman Filter and its variants. Outcomes of this study can be a guideline or an insight for researchers to further develop and implement in this field.

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“…Variant-rich systems are especially common in traditional engineering domains including automotive, industrial automation, and telecommunication. In addition, recent trends, such as the Internet of Things (IoT) (Atzori et al 2010), cyberphysical systems (Krüger et al 2017;Romero et al 2015) or robotics (Garcia et al 2019), further increase the need for customization.…”

Section: Introductionmentioning

confidence: 99%

The state of adoption and the challenges of systematic variability management in industry

et al. 2020

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Handling large-scale software variability is still a challenge for many organizations. After decades of research on variability management concepts, many industrial organizations have introduced techniques known from research, but still lament that pure textbook approaches are not applicable or efficient. For instance, software product line engineering-an approach to systematically develop portfolios of products-is difficult to adopt given the high upfront investments; and even when adopted, organizations are challenged by evolving their complex product lines. Consequently, the research community now mainly focuses on reengineering and evolution techniques for product lines; yet, understanding the current state of adoption and the industrial challenges for organizations is necessary to conceive effective techniques. In this multiple-case study, we analyze the current adoption of variability management techniques in twelve medium-to large-scale industrial cases in domains such as automotive, aerospace or railway systems. We identify the current state of variability management, emphasizing the techniques and concepts they adopted. We elicit the needs and challenges expressed for these cases, triangulated with results from a literature review. We believe our results help to understand the current state of adoption and shed light on gaps to address in industrial practice.

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Variability Modeling of Service Robots

Cited by 26 publications

References 20 publications

Robotics software engineering: a perspective from the service robotics domain

Robotics software engineering: a perspective from the service robotics domain

A Systematic Review on Fusion Techniques and Approaches Used in Applications

The state of adoption and the challenges of systematic variability management in industry

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