The Development of an Autonomous Library Assistant Service Robot

Behan, J.

doi:10.5772/5958

Cited by 4 publications

(2 citation statements)

References 28 publications

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“…In fact, this robot can store user’s behavior in information retrieval, and it will work based on this stored behavior. Behan and O'Keeffe (2009) designed as a mobile robotic assistant, called “LUCAS” for the University of Limerick. This assistant is a help system that supports users intellectually.…”

Section: Discussionmentioning

confidence: 99%

Intelligent libraries: a review on expert systems, artificial intelligence, and robot

Asemi

Kő

Nowkarizi

2020

LHT

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PurposeThis paper reviews literature on the application of intelligent systems in the libraries with a special issue on the ES/AI and Robot. Also, it introduces the potential of libraries to use intelligent systems, especially ES/AI and robots.Design/methodology/approachDescriptive and content review methods are applied, and the researchers critically reviewed the articles related to library ESs and robots from Web of Science as a general database and Emerald as a specific database in library and information science from 2007–2017. Four scopes considered to classify the articles as technology, service, user and resource. It is found that published researches on the intelligent systems have contributed to many librarian purposes like library technical services like the organization of information resources, storage and retrieval of information resources, library public services as reference services, information desk and other purposes.FindingsA review of the previous studies shows that ESs are a useable intelligent system in library and information science that mimic librarian expert’s behaviors to support decision making and management. Also, it is shown that the current information systems have a high potential to be improved by integration with AI technologies. In this researches, librarian robots mostly designed for detection and replacing books on the shelf. Improving the technology of gripping, localizing and human-robot interaction are the main concern in recent librarian robot research. Our conclusion is that we need to develop research in the area of smart resources.Originality/valueThis study has a new approach to the literature review in this area. We compared the published papers in the field of ES/AI and robot and library from two databases, general and specific.

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Section: Discussionmentioning

confidence: 99%

Intelligent libraries: a review on expert systems, artificial intelligence, and robot

Asemi

Kő

Nowkarizi

2020

LHT

View full text Add to dashboard Cite

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“…At the beginning, the control and the analysis target is the dynamic component-based systems [2,4], after that, the AI community directed the investigation to control and analysis the MAP execution [6,7,15].…”

Section: Related Workmentioning

confidence: 99%

A distributed approach for multi-agent plan monitorine and diagnosis

Athamena

Houhamdi

2015

2015 SAI Intelligent Systems Conference (IntelliSys)

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Generally, Multi-Agent Systems (MAS) are used to solve diagnostic problems; however, sometimes we have to diagnosis the MAS itself. As an actual fact, in many concrete cases, complex activities can be decomposed to simpler activities where each simple activity is executed by a particular agent that can be tangible (robot) or intangible (software). In short, the original complex activity is performed with the aid of a team including a set of interacting agents. The present paper proposes a decentralized monitoring methodology that conquers the centralized approach limitations (specially, the scalability property). Precisely, the Global Monitoring Plan (GMP) is split to set of smaller plans which are allocated to monitor agents. Usually, the GMP decomposition generates a set of sub-plans which are dependent. Consequently, all along the monitoring process, the interaction between monitor agents is required to get agent level outputs that are consistent at system level. The proposed approach allows the monitor agent to detect, dynamically, the set of agents involved in the interaction process. This set is called Dependency-Set. In addition, we propose a structured collaboration procedure between the agents belonging to the same Dependency-Set.

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