Generation of efficient and user-friendly queries for helper robots to detect target objects

Kurnia, Rahmadi; Hossain, Md. Altab; Nakamura, Akio; Kuno, Yoshinori

doi:10.1163/156855306776985559

Cited by 13 publications

(7 citation statements)

References 9 publications

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“…Based on the comments, we know that the users feel that the beginning and the end of leaning is similar for verbal guidance. This tendency can be confirmed on the SUS results, especially for the patterns that adopt both guidance systems (patterns [10][11][12][13][14][15]. It is believed that this is because the leaning motion does not require a significant amount of time.…”

Section: Validation Experiments Of Verbal Guidance For the System Withsupporting

confidence: 54%

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Verbal guidance for sit-to-stand support system

et al. 2020

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Artificial intelligence (AI)-based robots have become popular in various fields, thereby increasing the demand for care robots. Such care robots recognize or estimate factors such as human states and then perform actions depending on the estimation results. If the humans cooperating with robots do not understand robot functions well, the task will not be performed appropriately. Additionally, it is possible that the estimation may be incorrect. Robots may make mistakes, and there is a risk that these mistakes may not be understood by humans. In such cases, robots are not useful, and this may hinder the cooperation between humans and robots. There are several ways to deal with this issue including improving estimation and information representation. We can know what is important to design care robots by analyzing the influence of factors including accurate estimation and contents and timing of information representation. We developed a robot for analysis that can support a human during standing, by raising its armrest. The developed robot raises its armrest when the user leans on it. In the nursing-care field, verbal communication is important. Hence, we also adopt a verbal guidance for information representation. Verbal guidance to encourage a user to stand up and countdown timer representations are adopted. Initially, an experiment is conducted to validate the usability of the system that acts according to considerably accurate estimations. The experimental results show that system without verbal guidance causes anxiety to humans and the system becomes not useful, even if the human state is detected accurately. Furthermore, we determine the appropriate content and timing of verbal guidance based on the results. Subsequently, we conduct an experiment to confirm that the proposed method is applicable under imperfect estimations.

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Section: Validation Experiments Of Verbal Guidance For the System Withsupporting

confidence: 54%

“…The dance teaching robot can convey the next step to the user by applying a force to the user [11]. Additionally, some researchers have studied systems that confirm human commands [12]. The transparency of the system is important, especially for human-robot interactions [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Verbal guidance for sit-to-stand support system

et al. 2020

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“…When the robot fails to find the object it may ask the user to assist it using some short, user-friendly conversation. We have already developed some interactive object-recognition methods [7], [8] for the recognition of simple single-color objects in plain background. Here we extend these works for complex objects in complex backgrounds.…”

Section: Interactive Object Recognitionmentioning

confidence: 99%

“…Our work is critical within the domain of computer vision research. We are working to develop an interactive object recognition system [7], [8]so that it could be used when the robot is unable to recognize objects by itself alone. In our previous research, we also dealt with simply describable objects.…”

Section: Introductionmentioning

confidence: 99%

Human robot interaction through simple expressions for object recognition

Mansur

Sakata

Rukhsana

et al. 2008

RO-MAN 2008 - The 17th IEEE International Symposium on Robot and Human Interactive Communication

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Abstract-Service robots need to be able to recognize and identify objects located within complex backgrounds. Since no single method may work in every situation, several methods need to be combined. However, there are several cases when autonomous recognition methods fail. We propose an interactive recognition method in these cases. To develop a natural Human Robot Interaction (HRI), it is necessary that the robot should unambiguously perceive the description of an object given by human. This paper reports on our experiment in which we examined the expressions humans use in describing ordinary objects. The results show that humans typically describe objects using one of multiple colors. The color is usually either that of the object background or that of the largest object portion. Based on these results, we describe our development of a robot vision system that can recognize objects when a user adopts simple expressions to describe the objects. This research suggests the importance of connecting 'symbolic expressions' with the 'real world' in human-robot interaction.

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“…Yet, it remains difficult for vision systems to recognize objects in various natural conditions. In addressing this problem, we are currently working on an interactive object recognition system [3] [4]. Here the robot asks the user to verbally provide information about the object it cannot detect such as color and spatial relationship to other objects.…”

Section: Introductionmentioning

confidence: 99%

Object recognition in service robots: Conducting verbal interaction on color and spatial relationship

Kuno

Sakata

Kobayashi

2009

2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops

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Service robots need to be able to recognize objects located in complex environments. Although there has been recent progress in this area, it remains difficult for autonomous vision systems to recognize objects in natural conditions. In this paper, we propose an interactive object recognition system. In this system, the robot asks the user to verbally provide information about an object that it cannot detect. In particular, it asks the user questions regarding color and spatial relationship between objects depending on the situation. Experimental results confirm the usefulness and efficiency of our interaction system.

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Generation of efficient and user-friendly queries for helper robots to detect target objects

Cited by 13 publications

References 9 publications

Verbal guidance for sit-to-stand support system

Verbal guidance for sit-to-stand support system

Human robot interaction through simple expressions for object recognition

Object recognition in service robots: Conducting verbal interaction on color and spatial relationship

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