Behavior-based intention inference for intelligent robots cooperating with human

Inagaki, Y.; Sugie, Hiroshi; Aisu, Hideyuki; Ono, Shigeru; Unemi, Tatsuo

doi:10.1109/fuzzy.1995.409904

Cited by 26 publications

(12 citation statements)

References 5 publications

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“…Usually, inferred intentions are vague and not necessarily correct, but it plays a key role in conservative decision-making for the user's safety or in smooth cooperation for the user's comfort. A human being also tries to read the other party's intention subjectively, and thus any classical probability or statistics may not be appropriate to express one's intention in a mathematical way [7]. Hence, we need appropriate methods based on soft computing techniques in order to deal with these types of vague and uncertain knowledge.…”

Section: Introductionmentioning

confidence: 99%

Soft computing based intention reading techniques as a means of human-robot interaction for human centered system

Kim

Song

Han

et al. 2003

Soft Computing - A Fusion of Foundations, Methodologies and App

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Friendly interaction between robot and human is vital in the design of a human centered system. Among several interaction technologies, the intention reading of the user plays an important role for the human centered system. We focus on the aspect of intention reading in rehabilitation robots, and implement its capability for the wheelchair-based robotic arm system, called KARES (KAIST Rehabilitation Engineering Service System) II. An effective intention reading scheme is proposed on the basis of several soft computing techniques to handle uncertainty of the user's intention. Two application examples of intention reading in KARES II are discussed: one is visual servoing of the user's face, and the other is emergency stop of the robot by using EMG signals of the user's arm.

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Section: Introductionmentioning

confidence: 99%

Soft computing based intention reading techniques as a means of human-robot interaction for human centered system

Kim

Song

Han

et al. 2003

Soft Computing - A Fusion of Foundations, Methodologies and App

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show abstract

“…Robots are currently mostly seen as a support tool in achieving small tasks or as an automation alternative in carrying out complex tasks by themselves [10]. To convert the existing research results of social robotics to the joint problem solving of human-robot teams, some empirical studies and prototypic solutions are available as well.…”

Section: Paper Digital Transformation Of Engineering Educationmentioning

confidence: 99%

“…Most of them are based on empirical data gained during the development and testing of prototypic robots, build as demonstrators for research purposes. Inagaki et al [10] researched the perception, recognition and intention inference that should be applied to the human-robot production systems to construct more comfortable industrial environments. The robot "Hadaly!2", researched and developed by Morita et al [11], utilizes the surrounding environment for collaboration, and is capable of carrying an object to a target position by reacting to visual and audio instruction by the human while ensuring his safety.…”

Section: Existing Studies and Theoretical Aspects On Human-robot-mentioning

confidence: 99%

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Digital Transformation of Engineering Education - Empirical Insights from Virtual Worlds and Human-Robot-Collaboration

et al. 2016

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Abstract-Cyber-physical systems and "Industry 4.0" will require future engineers to handle big data and complex, multidisciplinary problems as well as to collaborate with machines in "hybrid teams". As some work spaces will be virtualized or remotely controllable new communication skills and the knowledge of virtual worlds are necessary. Furthermore, working as a team with machines demands not only knowledge of mechanical engineering and machines but also an extended understanding of team working. To meet such challenges future engineers need to acquire new skills and qualification. This task does not only concern engineering students and trainees but also teachers for engineering. Questions about how to prepare for newly needed engineering competencies for the age of Industry 4.0, how to assess them and how to teach and train e.g. human-robotteams have to be tackled in future engineering education. The paper presents theoretical aspects and empirical results of a series of studies, which were conducted to investigate engineering education in virtual worlds as well as different aspects about team building in hybrid teams.

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“…Inagaki et al (Inagaki, Sugie et al 1995) proposed that humans and robots can have a common goal and work cooperatively through perception, recognition and intention inference. One partner would be able to infer the intentions of the other from language and behavior during collaborative work.…”

Section: Robots In Collaborative Tasksmentioning

confidence: 99%

Augmented Reality for Human-Robot Collaboration

Green¹,

Billinghurst²,

Chen³

et al. 2007

Human Robot Interaction

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Behavior-based intention inference for intelligent robots cooperating with human

Cited by 26 publications

References 5 publications

Soft computing based intention reading techniques as a means of human-robot interaction for human centered system

Soft computing based intention reading techniques as a means of human-robot interaction for human centered system

Digital Transformation of Engineering Education - Empirical Insights from Virtual Worlds and Human-Robot-Collaboration

Augmented Reality for Human-Robot Collaboration

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