• Journal of the KSME
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• v.30 no.S1
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• pp.19-29
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• 1990

일본을 위시한 선진국의 자동화 기술은 컴퓨터 종합 생산 기술을 토대로 무인 자동화 공장을 점 진적으로 실현해 나가는 고도의 기술로 빠르게 움직이고 있다. 이에 비해 우리나라의 자동화 기 술수준은 간이 자동화 기술 수준을 막 벗어난 단위 기계 자동화 수준에 머무르고 있다고 해도 과언은 아닌 것 같다. 이와 같은 기술수준의 격차를 빨리 극복하고 우리 나라 고유상표의 기술 모델을 개발하려면 로봇 응용기술, 자동화 요소 기술, 마이크로 프로세서 활용 기술, 컴퓨터를 이용한 제어 기술, 계측 기술에 대한 꾸준한 연구가 이루어 져야한다. 이를 위해서는 우선 자동 화의 필요성을 느껴 자동화를 달성하려는 의지가 무엇보다도 선행되어야 할 것으로 판단된다.

• Proceedings of the KIEE Conference
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• 1999.07g
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• pp.3018-3020
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• 1999

본 논문에서는 손과 발을 자기의 의지대로 움직일 수 없는 장애인들이 전동 휠체어나 로봇 팔과 같은 보조 장치를 손, 발의 사용 없이 조작 할 수 있는 시스템 개발을 위한 연구에 대해서 소개한다. 손과 발을 사용하지 않고 전동 휠체어나 로봇 팔을 조작하려면 장애인의 의도를 파악하고 이 정보에 의한 구동 방식이 필요하게 된다. 본 연구에서는 장애인의 눈동자의 움직임과 머리의 움직임 그리고 음성 신호를 이용하여 보조 장치들을 구동시키고자 한다. 이를 구현하기 위해서는 시선의 방향을 측정할 수 있는 기술과 머리의 위치와 방향을 측정하는 기술, 그리고 음성으로 표현되는 간단한 명령들을 인식할 수 있는 기술이 필요하며, 이러한 기술의 통합을 바탕으로 보조장치들을 구동시키기 위한 편리한 사용자 지향의 인터페이스 기술을 개발하고자 한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1205-1212
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• 2021

Robots that can actually help people a lot by dealing with dangerous tasks that are difficult for people to do, such as disaster situations, lifesaving, handling dangerous goods, and reconnaissance of dangerous areas, continue to become an issue. Therefore, in this paper, we intend to implement a mobile robot arm that can implement a human motion will on the robot arm to enable active response according to the situation and control the vehicle according to hand movements to give mobility. A controller is manufactured using a flex sensor and agyro sensor, and the roll and pitch values of the two gyro sensors are adjusted to control the angle of the robot arm and specify the vehicle direction. In addition, by designating the levels of the three flex sensors, the motor is operated according to hand movements, and a robot arm is implemented so that objects can be picked up and moved.

• Proceedings of the KSME Conference
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• 2008.11a
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• pp.1603-1608
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• 2008

Powered robotic exoskeletons are currently under development for assisting or supporting human muscle power. Many applications using this system for the purpose of national defense system, medical support, and construction industry are now frequently introduced. In this paper, we proposed the exoskeletal wearable robotics for construction workers. First, we analyzed general work conditions at the construction site and set up target tasks through the datum. Then dominant muscles’ activity which is related with the defined target tasks was checked up. Herein, wearers’ intent signal generation methodology was introduced in order to effectively activate the proposed system. In the final part of this paper, we evaluated the capability and feasibility of the exoskeletal robotics by the electromyography (EMG) signal variance; demonstrated that robotic exoskeletons controlled by muscle activity could be useful way of assisting with construction workers.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.38 no.4
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• pp.352-362
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• 2010

The simultaneous operation of multiple UAV's makes it possible to enhance the mission accomplishment efficiency. In order to achieve this, easily scalable control algorithms are required, and swarm intelligence having such characteristics as flexibility, robustness, decentralized control, and self-organization based on behavioral model comes into the spotlight as a practical substitute. Recently, evolutionary robotics is applied to the control of UAV's to overcome the weakness of difficulties in the logical design of behavioral rules. In this paper, a neural network controller evolved by evolutionary robotics is applied to the control of multiple UAV's which have the mission of searching limited area. Several numerical demonstrations show the proposed algorithm has superior results to those of behavior based neural network controller which is designed by intuition.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.9
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• pp.825-837
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• 2017

This paper describes a novel type of a walking rehabilitation robot that applies robot technologies to crutches used by patients with walking difficulties in the lower body. The primary features of the developed robot are divided into three parts. First, the developed robot is worn on the patient's chest, as opposed to the conventional elbow crutch that is attached to the forearm; hence, it can effectively disperse the patient's weight throughout the width of the chest, and eliminate the concentrated load at the elbow. Furthermore, it allows free arm motion during walking. Second, the developed robot can recognize the walking intention of the patient from the magnitude and direction of the ground reactive forces. This is done using three-axis force sensors attached to the feet of the robot. Third, the robot can perform a stair walking function, which can change vertical movement trajectories in order to step up and down a single stair according to the floor height. Consequently, we experimentally showed that the developed robot can effectively perform walking rehabilitation assistance by perceiving the walking intention of the patient. Moreover we quantitatively verified muscle power assistance by measuring the electromyography (EMG) signals of the muscles of the lower limb.

• The Journal of the Korea Contents Association
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• v.18 no.7
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• pp.38-48
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• 2018

The purpose of this study was to identify various factors that could possibly influence special teachers' adoption intention towards robot-based education and to see how well those factors predict special teachers' adoption intention. To do this, questionnaire items were selected and reconstructed based on preceding research relating to Technology Acceptance Model(TAM). The survey participants consisted of 623 special school teachers, representing various types of special students and levels of their schools. Questionnaires with unfaithful responses were excluded, and a total of 590 questionnaires were analyzed. Data analysis was carried out through Exploratory factor analysis and stepwise multi-regression analysis. According to the results of study, factors that influence special teachers' acceptance intention towards robot-based education are perceived ease of use, perceived usefulness, personal innovation, and social influence. Also, the most decisive factors affecting special teacher's acceptance intention were perceived usefulness and perceived ease of use. These factors directly influenced special teachers' acceptance intention.

• Therapeutic Science for Rehabilitation
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• v.7 no.1
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• pp.79-88
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• 2018

Objective : Conventional therapy approaches for stroke survivors have required considerable demands on therapist's effort and patient's expense. Thus, new robotics rehabilitation therapy technologies have been proposed but they have suffered from less than optimal control algorithms. This article presents a novel technical healthcare solution for the real-time, simultaneous and propositional myoelectric control for stroke survivors' upper limb robotic rehabilitation therapy. Methods : To implement an appropriate computational algorithm for controlling a portable rehabilitative robot, a linear regression model was employed, and a simple game experiment was conducted to identify its potential of clinical utilization. Results : The results suggest that the proposed device and computational algorithm can be used for stroke robot rehabilitation. Conclusion : Moreover, we believe that these techniques will be used as a prominent tool in making a device or finding new therapy approaches in robot-assisted rehabilitation for stroke survivors.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.2
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• pp.126-133
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• 2023

In this study, electromyography was obtained in the six muscle areas that move the joints of the two legs, and by analyzing it, an exercise robot system capable of gait rehabilitation was proposed in consideration of the individual's muscle state. Through this, the system was constructed to prevent the effect of exercise from decreasing because the patient's will was not reflected when walking exercise was simply provided automatically. As a result of the evaluation of the developed system, it was confirmed that the pedestrian rehabilitation robot system manufactured through this study had performance suitable for the design requirements, and it was also confirmed that the usability evaluation was comprehensively satisfactory. The results of this study are thought to be of great help to patients who are having difficulty in gait rehabilitation, and are believed to be helpful in the development of electromyography signal-based gait robot systems.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1733-1734
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• 2008

We develope a riding robot system named as "RideBot" for health-care and entertainments. An algorithm for estimating riding position and volition is proposed by using bio-signals. We analyze the riding position and volition in real-horse riding environments and build up the database. With this database and sensor informations, standard positions are made. For the volition estimation, we use the acceleration and deceleration sensor information and bridle information for direction change. We propose a hybrid control algorithm in which discrete-state and continuous-state controls are combined. The efficiency of the proposed algorithm is evaluated thru various experiments.