Ontology-based knowledge management with verbal interaction for command interpretation and execution by home service robots

Gómez, L. Villamar; Miura, Jun

doi:10.1016/j.robot.2021.103763

Cited by 15 publications

(7 citation statements)

References 12 publications

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“…Conducting more pilot applications for technologies to adapt to various scenarios in emergencies is a possible approach that can improve technology maturity (Pan and Pan 2020). Introducing more intelligence to robotics by the combination of knowledge reasoning and humanrobot interaction to control robots is also crucial to ensure their reliability (Guntur et al 2019;Gómez and Miura 2021). Items in the IoT should be equipped with intrusion detection software and other tools (blockchain, etc.)…”

Section: Solutions/strategies For Development and Future Directionmentioning

confidence: 99%

Intelligent Fangcang Shelter Hospital Systems for Major Public Health Emergencies: The Case of the Optics Valley Fangcang Shelter Hospital

Zhou

Wang

et al. 2022

J. Manage. Eng.

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Epidemics and other public health emergencies significantly impact medical and health service systems. The exploitation of some advanced technologies in Fangcang shelter hospitals-emergency medical service solutions adopted in China during the Corona Virus Disease 2019 (COVID-19) epidemic-was found to successfully relieve the treatment pressures. However, the implementation of the intelligent Fangcang shelter hospital system remains in the exploratory stage. Herein, this paper aims to obtain experience in the development and utilization of an intelligent system in a Fangcang shelter hospital. To achieve this, a single case study method was adopted to analyze a real case in the Optics Valley Fangcang Shelter Hospital. There were two data collection methods in the case study: (1) interviews; and (2) investigation, including some documents, models, sensors, and the platform. The main contribution of this paper is that it provides qualitative insights on how to implement an intelligent Fangcang shelter hospital system, including the development process and challenges and identifying lessons learned through the utilization of intelligent Fangcang shelter hospital systems. This paper can give a solid reference for the operation of COVID-19 field hospitals and provide clear theoretical guidance for the implementation and development of intelligent Fangcang shelter hospitals. This will help better respond to COVID-19 and similar major public health emergencies in the future.

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Section: Solutions/strategies For Development and Future Directionmentioning

confidence: 99%

Intelligent Fangcang Shelter Hospital Systems for Major Public Health Emergencies: The Case of the Optics Valley Fangcang Shelter Hospital

Zhou

Wang

et al. 2022

J. Manage. Eng.

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“…This is significant during humanrobot contact for a robot's behavior. People should feel safe, welcoming of assistance, and secure in their relationship with the robot, and the whole experience should be positive [46].…”

Section: Hypothesis 2 (H2) Covid-19 Fear Significantly Affects Intention To Usementioning

confidence: 99%

“…There are many studies [66][67][68][69][70][71] examining people's trust in robots. These studies focus on topics such as technology anthropomorphism, which expresses the design factor [9,30], gestures, speech, and the hand and facial movements associated with emotional intimacy [29,46], among the actors that build trust [72]. There are also discussions in the literature that robots will harm personal privacy and users will not trust them [73].…”

Section: Theoretical Implicationsmentioning

confidence: 99%

“…Moreover, by assigning multiple comment-to-speech systems to different users, dialogue is perceived as continuous, so interruptions are avoided. Through dialogue, the robot can tailor the message to include the various kinds of feedback it receives, which results in improved engagement, attention, and understanding for the user [46]. Robotic customer service devices are created to engage with customers.…”

Section: Managerial Implicationsmentioning

confidence: 99%

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The Effect of COVID-19 on Airline Transportation Services: A Study on Service Robot Usage Intention

Meidutė‐Kavaliauskienė

Yıldız

Çiğdem

et al. 2021

Sustainability

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Robots have started to be used in the service sector as well as in the manufacturing industry. The use of service robots in airport services, tourism, and hospital services also brings many advantages. Because of the COVID-19 pandemic, reducing physical contact and providing hygiene are essential benefits of service robots. For this purpose, the effect of COVID-19 fear on perceived trust in service robots and the intention to use them at airports was investigated in this study. For analysis, data were collected from 730 participants from 64 different countries, by questionnaire. The data were analyzed with the SPSS and AMOS package programs. As a result of the structural equation model analysis, it was determined that COVID-19 fear affects perceived trust in service robots and the intention to use them positively, and perceived trust also affects the intention to use service robots positively. In addition, as a result of the Process Macro analysis, it was found that perceived trust has a high mediating effect on the effect of COVID-19 fear on the intention to use. The research results show that people’s attitudes towards COVID-19 shape the perception of robot usage in air transport services.

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“…Umbrico et al present the Sharework Ontology for Human Robot Collaboration (SOHO) ontology built on top of the CORA ontology to represent collaborative manufacturing scenarios [27]. Gómez and Miura propose an ontology-based knowledge management system to present the environment of home service robots and interaction between robots and the environment using natural language commands [28]. Our work, instead of focusing on enabling a collaborative environment for robots and humans, involves a framework to provide a common understanding about objects between service robots.…”

Section: Related Workmentioning

confidence: 99%

Ontology-Based Framework for Cooperative Learning of 3D Object Recognition

et al. 2021

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Advanced service robots are not, as of yet, widely adopted, partly due to the effectiveness of robots’ object recognition capabilities, the issue of object heterogeneity, a lack of knowledge sharing, and the difficulty of knowledge management. To encourage more widespread adoption of service robots, we propose an ontology-based framework for cooperative robot learning that takes steps toward solving these problems. We present a use case of the framework in which multiple service robots offload compute-intensive machine vision tasks to cloud infrastructure. The framework enables heterogeneous 3D object recognition with the use of ontologies. The main contribution of our proposal is that we use the Unified Robot Description Format (URDF) to represent robots, and we propose the use of a new Robotic Object Description (ROD) ontology to represent the world of objects known by the collective. We use the WordNet database to provide a common understanding of objects across various robotic applications. With this framework, we aim to give a widely distributed group of robots the ability to cooperatively learn to recognize a variety of 3D objects. Different robots and different robotic applications could share knowledge and benefit from the experience of others via our framework. The framework was validated and then evaluated using a proof-of-concept, including a Web application integrated with the ROD ontology and the WordNet API for semantic analysis. The evaluation demonstrates the feasibility of using an ontology-based framework and using the Ontology Web Language (OWL) to provide improved knowledge management while enabling cooperative learning between multiple robots.

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Ontology-based knowledge management with verbal interaction for command interpretation and execution by home service robots

Cited by 15 publications

References 12 publications

Intelligent Fangcang Shelter Hospital Systems for Major Public Health Emergencies: The Case of the Optics Valley Fangcang Shelter Hospital

Intelligent Fangcang Shelter Hospital Systems for Major Public Health Emergencies: The Case of the Optics Valley Fangcang Shelter Hospital

The Effect of COVID-19 on Airline Transportation Services: A Study on Service Robot Usage Intention

Ontology-Based Framework for Cooperative Learning of 3D Object Recognition

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