• 한국산학기술학회논문지
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• 제15권3호
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• pp.1236-1240
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• 2014

본 새로운 개념의 박물관에 기초한 로봇 박물관 "ROSIEUM"을 제안한다. 제안된 개념에 기초한 박물관의 역할들을 조사한다. 박물관 소장물로서의 로봇 콘텐츠 분류 체계 또한 제안한다. 로봇 콘텐츠의 수집 전시를 위한 구성은 최초봇 관, 대표봇 관, 한국봇 관, 구성봇 관, 체험봇 관, 이벤트 관으로 이루어진다. 또한 로봇 콘텐츠들의 유형들이 기술되었다. 모색된 로봇 박물관 "ROSIEUM"을 위한 주요 개념들과 구성 시나리오가 제시되었다. 또한 "ROSIEUM"의 운영 방식이 설계되고 구현되었다.

• 제어로봇시스템학회논문지
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• 제18권10호
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• pp.955-963
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• 2012

A mobile tour-guide robot is a very attractive tour-guide in the exhibition hall of science museums and the necessity of tour-guide robots for museums is gradually increasing. Two kinds of robots have served as tour-guide robots in an exhibition hall of the Korea National Science Museum which is a very densely populated museum of many people and exhibits. The robots move around the large exhibition area and provide guide services to lots of visitors. A robot leads the way to the exhibit that a visitor wants to find and it takes the shortest route. Robots were operated for four months from January to April 2011, and we observed behavior of visitors and collected subjective evaluation of users. The result shows that there are four stages of using a mobile tour-guide robot and some differences of subjective evaluations depending on the gender and the age of the user and we suggest several improvements on the mobile tour-guide robot.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.16-19
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• 2003

This paper describes research on mental commit robot that seeks a different direction from industrial robot, and that is not so rigidly dependent on objective measures such as accuracy and speed. The main goal of this research is to explore a new area in robotics, with an emphasis on human-robot interaction. In the previous research, we categories robots into four categories in terms of appearance. Then, we introduced a cat robot and a seal robot, and evaluated them by interviewing many people. The results showed that physical interaction improved subjective evaluation. Moreover, a priori knowledge of a subject has much influence into subjective interpretation and evaluation of mental commit robot. In this paper, 133 subjects evaluated the seal robot, Paro by questionnaires in an exhibition at the National Museum of Science and Technology in Stockholm, Sweden. This paper reports the results of statistical analysis of evaluation data.

• Journal of Information Processing Systems
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• 제20권3호
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• pp.328-336
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• 2024

Visual communication is widely used and enhanced in modern society, where there is an increasing demand for spirituality. Museum robots are one of many service robots that can replace humans to provide services such as display, interpretation and dialogue. For the improvement of museum guide robots, the paper proposes a human-robot interaction system based on visual communication skills. The system is based on a deep neural mesh structure and utilizes theoretical analysis of computer vision to introduce a Tiny+CBAM mesh structure in the gesture recognition component. This combines basic gestures and gesture states to design and evaluate gesture actions. The test results indicated that the improved Tiny+CBAM mesh structure could enhance the mean average precision value by 13.56% while maintaining a loss of less than 3 frames per second during static basic gesture recognition. After testing the system's dynamic gesture performance, it was found to be over 95% accurate for all items except double click. Additionally, it was 100% accurate for the action displayed on the current page.

• 한국콘텐츠학회논문지
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• 제16권3호
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• pp.184-197
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• 2016

본 연구는 사람과 로봇의 인터랙션을 알아보는 것을 목적으로 한다. 영화 속에서 등장하는 로봇과는 달리 실생활에서 만나는 로봇에는 특정한 성격이 존재하지 않는다. 본 연구는 다른 맥락을 가지고 있는 공간에서 로봇의 성격을 어떤 식으로 매치하는 것이 효과적인가에 대해 논의하고 있다. 본 연구의 목적을 달성하기 위해 외향성, 내향성이라는 두 가지 성격의 유형을 구분하고 선행연구에 기반하여 전통적인 형태의 박물관, 과정 중심적인 박물관 유형 조건으로 피험자간 설계를 실시하였다. 연구 결과, 피험자들은 로봇의 성격만 보았을 때 체험요소에 유의미한 영향을 미치지 못한 것으로 나타났다. 반면 다른 맥락의 장소 조건에서는 사회 정체감 요소에서 유의미한 결과를 보였다. 또한 모든 조건에서의 인터랙션 효과는 유의미하게 영향을 미치는 것으로 나타났다. 흥미로운 사실은 사용자가 가장 선호하는 조건은 외향적 성격의 로봇과 과정 중심적인 박물관 유형이며, 사용자가 가장 선호하지 않는 조건은 외향적 성격의 로봇과 전통적 유형의 박물관이었다. 이러한 결과의 함의에 대해서는 본문에서 논의하고 있다. 통계 분석은 JMP 9을 사용하여 리서치 모델 및 가설을 검증 하였다.

• 제어로봇시스템학회논문지
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• 제21권9호
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• pp.849-857
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• 2015

Although human-sized bipedal humanoid robots have been developed as the ideal form of human-friendly robots, studies of humanoid robots from the user perspective and of actual interaction between humanoid robots and the public in daily environments are few. This paper presents a long-term public demonstration that encouraged interaction between a humanoid robot and unspecified individuals. We have collected a significant amount of subjective evaluation data from the public by performing a storytelling demonstration that enhanced people's empathy towards the robot. The evaluation model consists of the robot's human friendliness, which involves its impression on humans, interaction with humans, and imitation of human motions and the robot's human appearance which involves gender, age, height, and body type. This study shows that there is no significant difference in human-friendliness between gender groups (male and female), while there is a significant difference between age groups (children and adults). In human appearance, it appears that there is no significant difference between either gender groups or age groups, except for the case of the robot's height.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2000년도 춘계 학술대회 및 국제 감성공학 심포지움 논문집 Proceeding of the 2000 Spring Conference of KOSES and International Sensibility Ergonomics Symposium
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• pp.301-305
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• 2000

The present study is part of the Special Research Project for the Construction of a Kansei Sensory Evaluation Model that is currently underway at the University of Tsukuba. In this study, a robot was operated by remote control at an actual art museum as part of a preliminary experiment. The results obtained therefrom were used to consider how people might view exhibits. In a previous study, a standard lens and s wide-angle lens were used to analyze differences in sensory-based movements, while VRML was used to analyze differences in these movements between a virtual and an actual museum. In the present study, the time delay in remote operation, which is currently unavoidable, placed some restrictions on the degree of freedom with which exhibits could be viewed, but it was apparent that sensory evaluation could be possible depending on the search behavior and viewing time. Furthermore specific viewing behaviors using the robot were observed, suggesting that new Kansei sensory perceptions were derived from these behaviors.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2018년도 추계학술발표대회
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• pp.885-888
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• 2018

This paper researches a way of detecting fish robots moving in an aquarium. The fish robot was designed and developed for interactions with humans in aquariums. It was studied merely to detect a moving object in an aquarium because we need to find the positions of moving fish robots. The intention is to recognize the location of robotic fish using an image processing technique and a video camera. This method is used to obtain the velocity for each pixel in an image, and assumes a constant velocity in each video frame to obtain positions of fish robots by comparing sequential video frames. By using this positional data, we compute the distance between fish robots using a mathematical expression, and determine which fish robot is leading and which one is lagging. Then, the lead robot will wait for the lagging robot until it reaches the lead robot. The process runs continuously. This system is exhibited in the Busan Science Museum, satisfying a performance test of this algorithm.

• 로봇학회논문지
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• 제18권4호
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• pp.463-471
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• 2023

This paper proposes a method to estimate the level of interest shown by visitors towards a specific target, a guide robot, in spaces where a large number of visitors, such as exhibition halls and museums, can show interest in a specific subject. To accomplish this, we apply deep learning-based behavior recognition and object tracking techniques for multiple visitors, and based on this, we derive the behavior analysis and interest level of visitors. To implement this research, a personalized dataset tailored to the characteristics of exhibition hall and museum environments was created, and a deep learning model was constructed based on this. Four scenarios that visitors can exhibit were classified, and through this, prediction and experimental values were obtained, thus completing the validation for the interest estimation method proposed in this paper.

• 전기전자학회논문지
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• 제22권4호
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• pp.1180-1187
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• 2018

본 논문은 수족관에서 유사 3D 플로팅 홀로그램로 구현되는 전래동화를 배경으로 물고기 로봇과 관람객이 상호 교감하는 수중무대를 구현한다. 색상인식 알고리즘을 이용하여 관람객과 수중로봇의 개체 위치인식을 수행하였고, 관람객과 전래동화의 개체를 추종하기 위한 위치 추종 알고리즘을 제안하였다. 본 실험장치는 수중로봇 제어를 위한 물고기로봇, 카메라, KIOSK와 수중영상을 연출하기 위한 빔 프로젝트로 구성된다. 본 실험은 전래동화와 수중로봇을 기반으로 관람객과 상호 교감하는 수중무대 구현을 국립부산과학관에서 수행한 결과 성능이 우수함을 확인하였다.