User intervention in self-adaptive context-aware applications

Geihs, Kurt; Evers, Christoph

doi:10.1145/2843043.2843373

Cited by 10 publications

(7 citation statements)

References 22 publications

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“…Even if a team of robots is able to operate autonomously and perform application tasks without human intervention, experience with self-adaptive applications shows that the human user does not always appreciate being out of the loop [70]. Self-adaptive systems may fail to meet user expectations, and autonomous actions may be inappropriate in certain user situations.…”

Section: Socio-technical Concernsmentioning

confidence: 99%

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Engineering Challenges Ahead for Robot Teamwork in Dynamic Environments

Geihs

2020

Applied Sciences

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The increasing number of robots around us creates a demand for connecting these robots in order to achieve goal-driven teamwork in heterogeneous multi-robot systems. In this paper, we focus on robot teamwork specifically in dynamic environments. While the conceptual modeling of multi-agent teamwork was studied extensively during the last two decades and commercial multi-agent applications were built based on the theoretical foundations, the steadily increasing use of autonomous robots in many application domains gave the topic new significance and shifted the focus more toward engineering concerns for multi-robot systems. From a distributed systems perspective, we discuss general engineering challenges that apply to robot teamwork in dynamic application domains and review state-of-the-art solution approaches for these challenges. This leads us to open research questions that need to be tackled in future work.

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Section: Socio-technical Concernsmentioning

confidence: 99%

“…This automation paradox, also called the irony of automation [70], is known since automated control systems took over tasks that were previously carried out by human operators. Psychologists identified human contribution in automated systems as not less but more important.…”

Section: Socio-technical Concernsmentioning

confidence: 99%

Engineering Challenges Ahead for Robot Teamwork in Dynamic Environments

Geihs

2020

Applied Sciences

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“…Human in the loop: Even if a team of robots is able to operate autonomously and perform application tasks without human intervention, experience with self-adaptive applications has shown that the human user does not always appreciate being out of the loop [29]. Self-adaptive systems may fail to meet user expectations, and autonomous actions may be inappropriate in certain user situations.…”

Section: Programmingmentioning

confidence: 99%

“…This automation paradox, also called the irony of automation [29], has been known since automated control systems took over tasks that were previously carried out by human operators. Psychologists identified human contribution in automated systems not less but more important.…”

Section: Programmingmentioning

confidence: 99%

Teamwork for Multi-Robot Systems in Dynamic Environments

Geihs¹

2019

Preprint

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The increasing number of robots around us will soon create a demand for connecting these robots in order to achieve goal-driven teamwork in heterogeneous multi-robot systems. In this paper, we focus on robot teamwork specifically in dynamic environments. While the conceptual modeling of multi-agent teamwork has been studied extensively during the last two decades, related engineering concerns have not received the same degree of attention. Therefore, this paper makes two contributions. The analysis part discusses general design challenges that apply to robot teamwork in dynamic application domains. The constructive part presents a review of existing engineering approaches for challenges that arise with dynamically changing runtime conditions. An exhaustive survey of robot teamwork aspects would be beyond the scope of this paper. Instead, we aim at creating awareness for the manifold dimensions of the design space and highlight state-of-the-art technical solutions for dynamically adaptive teamwork, thus pointing at open research questions that need to be tackled in future work. 2 increasing number of partially autonomous robots for lawn mowing, vacuum cleaning, window cleaning, and even for caretaking and medical applications.Achieving effective multi-robot teamwork raises big research challenges. Our particular focus in this paper is on the software that enables adaptive teamwork. Comprehensive support for designing the interaction, coordination and decision-making is essential to exploit the potential of multi-robot teams. For example, consider a large-scale emergency scenario where robots of different rescue organizations come together and collaborate spontaneously to search and rescue victims. Clearly, in the first place, we need communication channels between the robotsjust like for the human rescue forces. Based upon the basic communication capabilities coordination of task assignment, execution, and monitoring is required. In dynamic, error-prone application environments support for adaptive task allocation and decentralized decision-making is crucial to determine who does what and when in a team of autonomous robots. Heterogeneity of robot hardware and software may further add to the complexity. When engineering a software framework for the teamwork of autonomous robots all of these challenges, and more, have to be addressed and solved.The goal of this paper is to explore the design space for the engineering of robot teamwork and to present solution approaches for dynamic application scenarios. We highlight the spectrum of application requirements and identify challenges for the engineering of teamwork solutions in multi-robot systems. This leads us to research questions that future research needs to tackle.The analysis part discusses general design challenges that apply to robot teamwork in dynamic application domains. The constructive part presents a survey of existing engineering approaches for challenges that arise with the dynamically changing runtime conditions. This paper makes two main contribution...

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“…Adaptive software has the ability to modify its behavior at runtime due to changes in the system, requirements, or the environment in which it is deployed [1]. Adaptive software plays an important role in several scenarios.…”

Section: Introductionmentioning

confidence: 99%

Towards a Domain-Specific Language to Design Adaptive Software: the DMLAS Approach

García

Pavlich-Mariscal

Carrillo-Ramos

2016

I&U

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An adaptive software has the ability to modify its own behavior at runtime due to changes in the users and their context, in the system, in the requirements, in the environment in which the system is deployed, and thus, give to the users a better experience. However, the development of this kind of systems is not a simple task. There are two main issues. First, there is a lack of languages to specify, unambiguously, the elements related to the design phase. As a consequence, these systems are often developed in an ad-hoc manner, without the required formalism, difficulting the process of derivation of design models to the next phases of the development cycle. Second, design decisions and the adaptation model tend to be directly implemented into the source code and not thoroughly specified at the design level. Since the adaptation models become tangled with the code, system evolution becomes more difficult. To address the above issues, this paper proposes DMLAS, a Domain-Specific Language (DSL) to design adaptive systems. As proof of concept, this paper also provides a functional prototype based on the Sirius plugin for Eclipse

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User intervention in self-adaptive context-aware applications

Cited by 10 publications

References 22 publications

Engineering Challenges Ahead for Robot Teamwork in Dynamic Environments

Engineering Challenges Ahead for Robot Teamwork in Dynamic Environments

Teamwork for Multi-Robot Systems in Dynamic Environments

Towards a Domain-Specific Language to Design Adaptive Software: the DMLAS Approach

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