An approach of a computerized planning assistant to the system design of collaborative robot installations

Keller, Sebastian; Hausmann, Robert G. M.; Kressner, Lydia; Koenig, Alexander

doi:10.1109/etfa.2016.7733525

Cited by 3 publications

(2 citation statements)

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“…Over task planning, an increasingly important design aspect is selection of the appropriate robot for a safe execution of required collaborative task. A selection method relying on a knowledge-based expert system has been considered in [24]. Moreover, a systematic design approach for the imple-mentation of HRC solution starting from existing manual processes has been proposed in [25].…”

Section: Contributionmentioning

confidence: 99%

Survey on human–robot collaboration in industrial settings: Safety, intuitive interfaces and applications

et al. 2018

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Section: Contributionmentioning

confidence: 99%

Survey on human–robot collaboration in industrial settings: Safety, intuitive interfaces and applications

et al. 2018

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“…The scientific community in ICT has invested considerable effort into constructing intelligent distributed computing systems, with an initial focus on small scale applications. Notable advances have been made in the areas of robotics [22], [23], [24], [25], [26] and in selected fields of distributed computing. We have seen new adaptive middleware systems [27], [28], [29], new programming paradigms [30], [31], [32], bio-inspired computing [33], [34], [35] and artificial intelligence [36].…”

Section: The Rise Of Collective Adaptive Systemsmentioning

confidence: 99%

On the Social Implications of Collective Adaptive Systems

Bucchiarone

D'Angelo

Pianini

et al. 2020

IEEE Technol. Soc. Mag.

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Many Collective Adaptive Systems (CASs) exist in nature: think of ant colonies, where large collectives of ants operate autonomously but interact with other ants and the environment to provide resilient global behaviours that sustain their colony. Following scientific studies that were aimed at understanding and predicting the evolution of these systems, and fueled by technological advances, research has started to investigate CAS engineering: the methods, tools, and techniques for building CASs. This naturally leads to a vision where collectives of humans and computational elements, situated both in the digital and physical worlds, collaborate to give rise to "intelligent" collective behaviour supporting novel kinds of applications and services. Humans can be involved in two ways: both as users and as components of the CAS, in the sense that human behaviours and limitations are often integral to the system description. This has significant social implications that need to be considered by CAS researchers: in this paper, we share a discussion that took place between some experts thinking about CAS engineering, focusing on the social implication of CASs and related open research challenges. We hope that this provides a useful context for future research projects, research grant proposals, and research directions.

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