Intelligent Interaction For Human-Friendly Service Robot in Smart House Environment

Bien, Zeungnam; Lee, Hyong-Euk; Do, Jun-Hyeong; Kim, Yong-Hwi; Park, Kwang‐Hyun; Yang, Sungwook

doi:10.1080/18756891.2008.9727606

Cited by 15 publications

(5 citation statements)

References 19 publications

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“…Interaction of the service robot was considered as input and output of the HRI module in three contexts: crisp, fuzzy, and uncertain [49]. The study proposed an effective interaction method for each context.…”

Section: Domestic/personal Social Service Robots For Elderly Carementioning

confidence: 99%

Service Robots: A Systematic Literature Review

Lee

2021

Electronics

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A service robot performs various professional services and domestic/personal services useful for organizations and humans in many application domains. Currently, the service robot industry is growing rapidly along with the technological advances of the Fourth Industrial Revolution. In light of the great interest and potential of service robots, this study conducts a systematic review of the past and current research in service robots. This study examines the development activities for service robots across applications and industries and categorizes the service robots into four types. The categorization provides us with insights into the unique research activities and practices in each category of service robots. Then, this study analyzes the technological foundation that applies to all four categories of service robots. Finally, this study discusses opportunities and challenges that are understudied but potentially important for the future research of service robots.

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Section: Domestic/personal Social Service Robots For Elderly Carementioning

confidence: 99%

Service Robots: A Systematic Literature Review

Lee

2021

Electronics

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“…Rule induction is a special kind of machine learning technique reasoning from specific to general principles (expressible as if-then rules) [41,42].…”

Section: Related Workmentioning

confidence: 99%

DAMA: A Dynamic Classification of Multimodal Ambiguities

Grifoni¹,

Caschera²,

Ferri³

2020

IJCIS

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Ambiguities represent uncertainty but also a fundamental item of discussion for who is interested in the interpretation of languages and it is actually functional for communicative purposes both in human-human communication and in human-machine interaction. This paper faces the need to address ambiguity issues in human-machine interaction. It deals with the identification of the meaningful features of multimodal ambiguities and proposes a dynamic classification method that characterizes them by learning, and progressively adapting with the evolution of the interaction language, by refining the existing classes, or by identifying new ones. A new class of ambiguities can be added by identifying and validating the meaningful features that characterize and distinguish it compared to the existing ones. The experimental results demonstrate improvement in the classification rate over considering new ambiguity classes.

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“…The focus in this application is the magnitude of the signal. It has also been proposed that EMG and EEG can be used as a form of human/robot interaction where a robot/device would sense EMG/EEG signals to learn about nearby humans, not explicitly for control (Bien, et al, 2008). EMG techniques can also be used to monitor users for fatigue, alertness, or other variables in various situations.…”

Section: Future Directionsmentioning

confidence: 99%

Man to Machine, Applications in Electromyography

Wehner¹

2012

EMG Methods for Evaluating Muscle and Nerve Function

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Intelligent Interaction For Human-Friendly Service Robot in Smart House Environment

Cited by 15 publications

References 19 publications

Service Robots: A Systematic Literature Review

Service Robots: A Systematic Literature Review

DAMA: A Dynamic Classification of Multimodal Ambiguities

Man to Machine, Applications in Electromyography

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