Robotic Standard Development Life Cycle in Action

Olszewska, Joanna Isabelle; Houghtaling, Michael; Gonçalves, Paulo J. S.; Fabiano, Nicola; Haidegger, Tamás; Carbonera, Joel Luís; Patterson, William Remington; Ragavan, S. Veera; Fiorini, Sandro Rama; Prestes, Edson

doi:10.1007/s10846-019-01107-w

Cited by 28 publications

(20 citation statements)

References 14 publications

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“…Robot development research can contribute to this end by designing robots highlighting positive aspects of the user image (i.e., a modern mind-set) by appearance and function, whilst avoiding the association with negative aspects of the user image (i.e., social isolation). Ethical design is one of the targets of the IEEE Onthological Standard for Ethically Driven Robotics and Automation Systems [41] which is currently developed. The requirement of a positive user image should be represented in the robotic ontological standard since it contributes to a more ethical, i.e., less stereotyping, design of companion-type robots.…”

Section: Implications For Robot Development and Future Researchmentioning

confidence: 99%

“THIS ISN’T ME!”: The Role of Age-Related Self- and User Images for Robot Acceptance by Elders

Dudek

Baisch

Knopf

et al. 2020

Int J of Soc Robotics

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Although companion-type robots are already commercially available, little interest has been taken in identifying reasons for inter-individual differences in their acceptance. Elders’ age-related perceptions of both their own self (self-image) and of the general older robot user (user image) could play a relevant role in this context. Since little is known to date about elders’ companion-type robot user image, it is one aim of this study to investigate its age-related facets, concentrating on possibly stigmatizing perceptions of elder robot users. The study also addresses the association between elders’ age-related self-image and robot acceptance: Is the association independent of the user image or not? To investigate these research questions, N = 28 adults aged 63 years and older were introduced to the companion-type robot Pleo. Afterwards, several markers of robot acceptance were assessed. Actual and ideal self- and subjective robot user image were assessed by a study-specific semantic differential on the stereotype dimensions of warmth and competence. Results show that participants tended to stigmatize elder robot users. The self-images were not directly related to robot acceptance, but affected it in the context of the user image. A higher fit between self- and user image was associated with higher perceived usefulness, social acceptance, and intention to use the robot. To conclude, elders’ subjective interpretations of new technologies play a relevant role for their acceptance. Together with elders’ individual self-images, they need to be considered in both robot development and implementation. Future research should consider that associations between user characteristics and robot acceptance by elders can be complex and easily overlooked.

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Section: Implications For Robot Development and Future Researchmentioning

confidence: 99%

“THIS ISN’T ME!”: The Role of Age-Related Self- and User Images for Robot Acceptance by Elders

Dudek

Baisch

Knopf

et al. 2020

Int J of Soc Robotics

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“…The ROCO ontology has been implemented in the web ontology language (OWL) (W3C OWL Working Group, 2009), which is well-established for knowledge-based applications (Olszewska et al , 2017; Beetz et al , 2018), using the Protégé tool and following the robotic ontological standard development life cycle (ROSADev) methodological approach (Olszewska et al , 2018).…”

Section: Ontologies For Cloud Robotic Systemsmentioning

confidence: 99%

“…In general, ontologies make the relevant knowledge about a domain explicit in a computer-interpretable format, allowing reasoning about that knowledge to infer new information. Some of the benefits of using ontology are thus the definition of a standard set of domain concepts along with their attributes and inter-relations, and the possibility for knowledge capture and reuse, facilitating systems specification, design and integration as well as accelerating research in the field (Olszewska et al, 2020).…”

Section: Overviewmentioning

confidence: 99%

Ontologies for cloud robotics

Freitas¹,

Bermejo–Alonso

Khamis

et al. 2020

The Knowledge Engineering Review

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Cloud robotics (CR) is currently a growing area in the robotic community. Indeed, the use of cloud computing to share data and resources of distributed robotic systems leads to the design and development of cloud robotic systems (CRS) which constitute useful technologies for a wide range of applications such as smart manufacturing, aid and rescue missions. However, in order to get coherent agent-to-cloud communications and efficient agent-to-agent collaboration within these CRS, there is a need to formalize the knowledge representation in CR. Hence, the use of ontologies provides a mean to define formal concepts and their relations in an interoperable way. This paper presents standard robotic ontologies and their extension in the CR domain as well as their possible implementations in the case of a real-world CR scenario.

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“…On the one hand, academics can discuss concepts unambiguously on the topic which will pave way for further research and investigation on the topic (Bermejo-Alonso et al, 2018). On the other hand, Industry practitioners can use these ontologies to conceptualize implementation scenarios (Olszewska et al, 2019). Indeed, as every scenario considered within the framework of the I4.0 includes different entities which communicate and cooperate with each 8 V. R A G A V A N ET AL.…”

Section: Ontological Standard Roadmapmentioning

confidence: 99%

Ontologies for Industry 4.0

Ragavan

Khamis

Fiorini³

et al. 2019

The Knowledge Engineering Review

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The current fourth industrial revolution, or 'Industry 4.0' (I4.0), is driven by digital data, connectivity, and cyber systems, and it has the potential to create impressive/new business opportunities. With the arrival of I4.0, the scenario of various intelligent systems interacting reliably and securely with each other becomes a reality which technical systems need to address. One major aspect of I4.0 is to adopt a coherent approach for the semantic communication in between multiple intelligent systems, which include human and artificial (software or hardware) agents. For this purpose, ontologies can provide the solution by formalizing the smart manufacturing knowledge in an interoperable way. Hence, this paper presents the few existing ontologies for I4.0, along with the current state of the standardization effort in the factory 4.0 domain and examples of real-world scenarios for I4.0.

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Robotic Standard Development Life Cycle in Action

Cited by 28 publications

References 14 publications

“THIS ISN’T ME!”: The Role of Age-Related Self- and User Images for Robot Acceptance by Elders

“THIS ISN’T ME!”: The Role of Age-Related Self- and User Images for Robot Acceptance by Elders

Ontologies for cloud robotics

Ontologies for Industry 4.0

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