Museum tour guide robot with augmented reality

Han, ByungOk; Kim, Young‐Ho; Cho, Kyusung; Yang, Hyun Seung

doi:10.1109/vsmm.2010.5665982

Cited by 25 publications

(9 citation statements)

References 10 publications

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“…In these applications, humans usually provide supervision or actual actions to the robotic systems. In mobile robots applications, AR-based visualization can provide situational awareness to the users for navigation and localization, such as the museum tour guide robot [45], etc. In these cases, humans usually play as a partner to the robot, where interaction needs to occur at a higher level, such as through natural dialogues.…”

Section: Armentioning

confidence: 99%

Novel AR-based interface for human-robot interaction and visualization

2014

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Intuitive and efficient interfaces for humanrobot interaction (HRI) has been a challenging issue in robotics as it is essential for the prevalence of robots supporting humans in key areas of activities. This paper presents a novel augmented reality (AR) based interface to facilitate human-virtual robot interaction. A number of human-virtual robot interaction methods have been formulated and implemented with respect to the various types of operations needed in different robotic applications. A Euclidean distance-based method is developed to assist the users in the interaction with the virtual robot and the spatial entities in an AR environment. A monitor-based visualization mode is adopted as it enables the users to perceive the virtual contents associated with different interaction methods, and the virtual content augmented in the real environment is informative and useful to the users during their interaction with the virtual robot. Case researches are presented to demonstrate the successful implementation of the AR-based HRI interface in planning robot pick-and-place operations and path following operations.

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Section: Armentioning

confidence: 99%

Novel AR-based interface for human-robot interaction and visualization

2014

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“…Afterward, according to user's input, robot guided him/her to the artifact using navigation method and effectively communicates the input information with localization and AR module. Using hybrid localization technique, robot localized its position and orientation, according to the museum exhibits and then AR module augments the multimedia content; 3D objects, movie clips, or audio clips onto the artifacts of user desire [14].…”

Section: Museum Tour Guide Robotmentioning

confidence: 99%

“…Interactive AR guides were developed along with various other features of web 2.0 and QR codes to explore different routes and symbolic buildings of the city [12]. Virtually recreating characters from former times [13] and using robot to overlay multimedia content [14] remained the interest domain area of researchers for better user experience. Web-based augmented reality personalized applications [15], 3D reconstruction of archaeological sites using AR [17] and mobile AR for cultural heritages [16] also contributed in enhancing user experience.…”

Section: Ar Visualization For 3d Reconstruction Of Archaeological Sitesmentioning

confidence: 99%

Using augmented reality and deep learning to enhance Taxila Museum experience

Khan

Israr

Almogren

et al. 2020

J Real-Time Image Proc

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Museums have adapted their traditional ways of providing services with the advent of novel digital technologies to match up with the pace and growing needs of current industry revolution. Mixed Reality has revitalized interpretation of numerous domains by offering immersive experiences in digital and real world. In the proposed study, an attempt was made to enrich user's museum experience with relevant multimedia information and for building a better connection with the artifacts with in Taxila Museum in Pakistan, which has beautifully preserved the Gandhara civilization. The proposed solution is an Augmented Reality (AR)-based smartphone application which recognizes artifacts using Deep Learning in real time and retrieve supportive multimedia information for the visitors. To provide user with exact content, convolutional neural networks (CNN) will be applied to correctly recognize artifacts. The significance of proposed application is compared with traditional human guided or free user tours through user-centric questionnaire-based survey. The evaluation is carefully performed using relevant evaluation models including Museum Experience Scale (MES) and triptych model of interactivity. The findings of the study are discussed and assessed comprehensively using statistical methods to highlight its significance.

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“…At present, service robots are used in offices, restaurants, hospitals, and homes . An important function of service robots used in different fields is guiding the users from one place to another . Other instruction methods without a guide (posters on the wall or guide maps) are useless for the strangers who do not know their own positions or for people who have difficulty understanding posters/maps, especially children and the elderly.…”

Section: Introductionmentioning

confidence: 99%

A framework for adaptive motion control of autonomous sociable guide robot

Zhang

Nagaoka

Kaneko

2016

IEEJ Transactions Elec Engng

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We present a framework by which the motion of an autonomous mobile guide robot is adaptively controlled. A sociable robot should adapt its speed and path to suit the users' activities, without restricting the user movement. By generating adaptive artificial potential fields for the users and the subgoal separately, and integrating them with the basic potential fields generated from obstacles, our robot can adapt to the users' activities and provide sociable tour-guide services. The robot predicts a user's moving speed and adapts to it to maintain the social distance. Moreover, with the proposed framework, users can deviate from the guided path temporarily and return to the original task afterward. Instead of waiting for the users and taking the risk of losing them, the robot deviates from its original path to follow the users and also prepares for returning to the guiding task. The robot restarts the guiding task at that place, which ensures the least cost to reach the goal. Simulation and experimental results show that our framework can automatically generate suitable motion patterns to control the robot adaptively, making it sociable while providing tour guide services.

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Museum tour guide robot with augmented reality

Cited by 25 publications

References 10 publications

Novel AR-based interface for human-robot interaction and visualization

Novel AR-based interface for human-robot interaction and visualization

Using augmented reality and deep learning to enhance Taxila Museum experience

A framework for adaptive motion control of autonomous sociable guide robot

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