Supervisory control of multiple social robots for navigation

Zheng, Kuanhao; Glas, Dylan F.; Kanda, Takayuki; Ishiguro, Hiroshi; Hagita, Norihiro

doi:10.1109/hri.2013.6483497

Cited by 21 publications

(15 citation statements)

References 22 publications

(27 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“… How to make humans to easily intervene MRSs according to what is needed? Currently, many tasks are still too complex for robots, and coordination between humans and robots needs to be explored [173] [174] [175]. Human-machine interactions are ubiquitous in today's world, although this paper focuses on the use of autonomous mobile robots.…”

Section: Resultsmentioning

confidence: 99%

A Survey and Analysis of Multi-Robot Coordination

Yan

Jouandeau

Chérif

2013

International Journal of Advanced Robotic Systems

517

279

View full text Add to dashboard Cite

In the field of mobile robotics, the study of multi-robot systems (MRSs) has grown significantly in size and importance in recent years. Having made great progress in the development of the basic problems concerning single-robot control, many researchers shifted their focus to the study of multi-robot coordination. This paper presents a systematic survey and analysis of the existing literature on coordination, especially in multiple mobile robot systems (MMRSs). A series of related problems have been reviewed, which include a communication mechanism, a planning strategy and a decision-making structure. A brief conclusion and further research perspectives are given at the end of the paper.

show abstract

Section: Resultsmentioning

confidence: 99%

A Survey and Analysis of Multi-Robot Coordination

Yan

Jouandeau

Chérif

2013

International Journal of Advanced Robotic Systems

517

279

View full text Add to dashboard Cite

show abstract

“…and this year to support the above, designed and implemented a human-robot team for social interactions, and then created a supervisory control of multiple social robots for conversation and navigation [183,185]. It is well known that during any conversation or in any interaction, a human immediately detects correspondences between their own body and the body of their partner.…”

Section: Human Robot Team (Hrt) Modelling Human-control Of Single Ormentioning

confidence: 98%

Extensive assessment and evaluation methodologies on assistive social robots for modelling human–robot interaction – A review

Sim

Loo

2015

Information Sciences

View full text Add to dashboard Cite

a b s t r a c tAssessment and evaluation methodologies as well as combinations of them, for modelling of Human-Robot Interaction (HRI), are reviewed extensively and thoroughly in this paper. However, based on the types of robots and the kinds of interactions involved in the modelling of HRI, we concentrate just on the assistive social robot types. A comprehensive review has been done on each of these extensive evaluation and assessment methodologies applied for testing the usability of assistive social robots, user acceptance towards robots and robot acceptance in terms of behavioural adaptation during the HRI. The evaluation methodologies are reviewed based on the primary and non-primary basis, while the assessment methodologies are reviewed based on the type(s) of modelling approaches. We then discussed the weaknesses, strengths and uniqueness of each type of the past research work done on the evaluation and assessment methodologies. Comparison and contrast tables are also illustrated. Lastly, this paper provides our recommended directions, new vision, as well as our inspirations and new insights for future researches by highlighting the key areas for enhancing each of the past evaluation and assessment methodologies so that a better modelling approach for HRI can be achieved. Contributions of this review paper are also discussed thoroughly.

show abstract

“…Some researchers have considered robots to guide or lead a person in various environments, such as shopping areas and museums [1], [2]. In many cases, the robot leads the person to a target position based on the person's requests.…”

Section: Introductionmentioning

confidence: 99%

Leading a Person Using Ethologically Inspired Autonomous Robot Behavior

Takahashi

Gácsi

Korondi

et al. 2015

Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts

View full text Add to dashboard Cite

This study considered a leading behavior of a robot. To lead a person when the person's attention is initially elsewhere, the robot's behavior needs to be designed so that it seeks the person's attention and seamlessly brings him or her to the target location. Therefore we implement a leading behavior for a robot inspired the dog's action sequence. We evaluate the robot behavior through an experiment.

show abstract

Supervisory control of multiple social robots for navigation

Cited by 21 publications

References 22 publications

A Survey and Analysis of Multi-Robot Coordination

A Survey and Analysis of Multi-Robot Coordination

Extensive assessment and evaluation methodologies on assistive social robots for modelling human–robot interaction – A review

Leading a Person Using Ethologically Inspired Autonomous Robot Behavior

Contact Info

Product

Resources

About