May I Draw Your Attention? Initial Lessons From the Large-Scale Generative Mark Maker

Phillips, Aidan; Vinoo, Ashwin; Fitter, Naomi T.

doi:10.1109/lra.2020.2964167

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…Those concerned with intelligence that can co-operate and coexist with humans constitute third-generation robots. These robots are primarily applied to understand patterns of behavior and natural languages and respond to human behavior [44][45][46].…”

Section: Model Development and Research Backgroundmentioning

confidence: 99%

A Partial Least Squares Structural Equation Modeling of Robotics Implementation for Sustainable Building Projects: A Case in Nigeria

et al. 2022

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Sustainability concepts should be adopted via new technologies to achieve the greatest possible gains without compromising the objectives of projects. In this research, we empirically investigated the influence of identified drivers on the implementation of robotics in the building sector of developing countries. To this end, with a view to sustainable building projects, the drivers of robotics were derived from the literature, which were subsequently contextually adjusted using a survey method through the exploratory factor analysis (EFA) method. The results of EFA revealed that the drivers of robotics can be classified into three primary constructs: technology, industry, and culture. However, the benefits of implementing robotics can be grouped into two primary constructs: resources and environment. Therefore, in this study, we employed partial least squares structural equation modeling (PLS-SEM) to evaluate the connections amongst drivers and applications of robotics in Nigeria’s building industry. The results indicated that the input to the implementation of robotics in Nigeria’s building industry via the drivers of robotics has a considerable influence at a small scale, with an impact of 14.5%. The findings of this study can serve as a guide for policymakers looking to improve their projects and increase sustainability by using robotics in the building sector.

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Section: Model Development and Research Backgroundmentioning

confidence: 99%

A Partial Least Squares Structural Equation Modeling of Robotics Implementation for Sustainable Building Projects: A Case in Nigeria

et al. 2022

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“…The present third generation is concerned with the intelligent robots that can co-exist and co-operate with humans. These robots are mainly into understanding natural languages and behaviour patterns of humans and respond in a humanly manner (Andreas et al , 2019; Fraune et al , 2020; Phillips et al , 2020; Yuan et al , 2019).…”

Section: Background: Robotics and Artificial Intelligencementioning

confidence: 99%

Critical success factors for integrating artificial intelligence and robotics

Mir

Sharma

Kar

et al. 2020

DPRG

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Purpose This paper aims to enlighten stakeholders about critical success factors (CSFs) in developing intelligent autonomous systems (IASs) by integrating artificial intelligence (AI) with robotics. It suggests a prioritization hierarchy model for building sustainable ecosystem for developing IASs. Design/methodology/approach This paper is based on the existing literature and on the opinion of 15 experts. All the experts have minimum of eight years of experience in AI and related technologies. The CSF theory is used as a theoretical lens and total interpretative structure modelling (TISM) is used for the prioritization of CSFs. Findings Developing countries like India could leverage IASs and associated technologies for solving different societal problems. Policymakers need to develop basic policies regarding data collection, standardized hardware, skilled manpower, funding and start-up culture that can act as building blocks in undertaking sustainable ecosystem for developing IASs and implementing national AI strategy. Clear-cut regulations need to be in place for the proper functioning of the ecosystem. Any technology that can function properly in India has better chances of working at the global level considering the size of the population. Research limitations/implications This paper had all its experts from India only, and that makes the limitation of this paper, as there is a possibility that some of the factors identified may not hold same significance in other countries. Practical implications Stakeholders will understand the critical factors that are important in developing sustainable ecosystem for IASs and what should be the possible order of activities corresponding to each CSF. Originality/value The paper is the first of its kind that has used the CSF theory and TISM methodology for the identification and prioritization of CSFs in developing IASs. Further, eight significant factors, that is, emerging economy multinational enterprises (EMNEs), governance, utility, manpower, capital, software, data and hardware, have come up as the most important factors in integrating AI with robotics in India.

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