• Journal of Electrical Engineering and Technology
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• v.12 no.2
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• pp.918-925
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• 2017

This paper presents a path planning problem for multi-robot system in the environment with dynamic obstacles. In order to guide the robots move along a collision-free path efficiently and reach the goal position quickly, a navigation method based on fuzzy logic controllers has been developed by using proximity sensors. There are two kinds of fuzzy controllers developed in this work, one is used for obstacle avoidance and the other is used for orientation to the target. Both static and dynamic obstacles are included in the environment and the dynamic obstacles are defined with no type of restriction of direction and velocity. Here, the environment is unknown for all the robots and the robots should detect the surrounding information only by the sensors installed on their bodies. The simulation results show that the proposed method has a positive effectiveness for the path planning problem.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.1
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• pp.114-120
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• 2017

The work present in this paper deals with a navigation problem for multiple mobile robots in unknown indoor environments. The environments are completely unknown to the robots; thus, proximity sensors installed on the robots' bodies must be used to detect information about the surroundings. The environments simulated in this work are dynamic ones which contain not only static but also moving obstacles. In order to guide the robot to move along a collision-free path and reach the goal, this paper presented a navigation method based on fuzzy approach. Then genetic algorithms were applied to optimize the membership functions and rules of the fuzzy controller. The simulation results verified that the proposed method effectively addresses the mobile robot navigation problem.

• Journal of The Korean Association of Information Education
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• v.14 no.1
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• pp.79-87
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• 2010

To support the expansion of diversity for schooling and make a plan for systematic robot education Ministry of Knowledge Economy did Pilot Project of Hands-on Robot at 68 Elementary Schools after building up the supporting system for teachers to practically use robots such as training course with Hands-on Robot. According to this, this paper will be shown about the analysis results of preliminary data about next expansion project of Hands-on Robot through analyzing the current status of Pilot Project of Hands-on Robot at Elementary After-School. For this, status of offered lesson and usage of teaching aids and materials, the number of regular/part-time teachers, students' satisfaction and so on at schools which are listed for the Pilot Project. The results show that at most of elementary schools students' creativity and interests about robots was increased and they tried to take the classes actively with high concentration. In spite of these positives, improvement needs for textbooks were also ascertained, therefore proper textbooks for student and teaching aids to bring on variable activities of students shall be based on additionally for the success.

• Journal of Internet Computing and Services
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• v.17 no.3
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• pp.67-73
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• 2016

With the rapid development of mobile services and the prevalence of education robots, robots are being developed to become a part of our lives and they can be utilized to assist teachers in giving education or learning to students. This standard has been proposed to define the degree of autonomy for education robot. The autonomy is an ability to perform a given work based on current state and sensor value without human intervention. The degree of autonomy is a scale indicating the extent of autonomy and it is determined in between 1 and 10 by considering the level of work and human intervention. It has been adapted as per standard and education robots can be utilized in teaching the students autonomously. Education robots can be beneficial in education and it is expected to contribute in assisting the teacher's education.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.4
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• pp.77-85
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• 2009

In this paper, the implementation of creative engineering robot with MCU platform is described. This robot, as a platform of robot system to be used as creative engineering education, has to satisfy restrictions in many aspects in order to study algorithm and apply for the processor based function and pattern recognition application. Considering many restrictions of the mobile platform for creative robot system, we made this robot autonomous by using efficiently the LINUX embedded system. And we choose Marvell Monahan processor(PXA320) as MCU flatform, and used CentOS5.2 as an embedded OS that has the function of robustness and optimality. For flexibility and modularity, the platform has expansion ports. The results of experiment are described to show the pattern matching of creative engineering mobile robot with LINUX programming environments.

• Journal of Practical Engineering Education
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• v.10 no.2
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• pp.113-118
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• 2018

The most important thing in vocational education and training is to enhance students' interest and understanding of the whole process of the production site. In this paper, we present a case on the implementation of tele-operation robot hand by learning factory based technology convergence education. It also suggests some points to be taken when applying the learning factory in the future curriculum. In order to implement the tele-operation robot hand, it is necessary to support the compulsory subjects of university level courses in domestic curriculum such as mechanic design, motor control, local communication implementation, sensing and feedback control. The educational research presented in this paper guides the students with the skills they need and understands the skills through self-study and practice, and implements the final products. This study will be useful as a base data when introducing the training process of training factory in the future.

• Journal of the Korea Society of Computer and Information
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• v.19 no.6
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• pp.139-149
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• 2014

Much research has been conducted in educational robot, a new instructional technology, for K- 12 education. Several studies have shown that educational robot provides effective learning opportunities for students in both content areas of STEM(science, technology, engineering, and mathematics) and critical academic skills, such as collaboration, problem solving and communication skills. However, most studies to date on applications of educational robots have been conducted outside the formal education setting. This study analyzed the influence of using robots in an elementary school science class in Korea with regard to science learning motivation. A total of 121 students in fourth and fifth grades participated in the study. The experimental group was taught using robots in the science class, while the control group was taught using traditional methods. Analysis of covariance (ANCOVA) was conducted to compare the between-group differences in learning motivation before and after the experiment; an interview was also conducted for the experimental group. The study results showed a significant improvement (p<.05) in both learning motivation in the experimental compared with the control group. There was also positive response to learning with a robot. This study will play an important role in research on the use of educational robot in formal education in the future.

• Journal of The Korean Association of Information Education
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• v.18 no.2
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• pp.225-234
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• 2014

Robot programming allows students to plan an algorithm in order to solve a task, implement the algorithm, easily confirm the results of the implementation with a robot, and correct errors. Thus, robot programming is a problem solving process based on reflective thinking, and is closely related to students' metacognition. On this point, this research is conducted to develop a robot programming instructional model for tile enhancement of students' metacognition. The instructional processes of robot programming are divided into 5 stages (i.e., 'exploration of learning tasks', 'a teacher's modeling', 'preparation of a plan for task performance along with the visualization of the plan', 'task performance', and 'self-evaluation and self-reinforcement'), and core strategies of metacognition (i.e., planning, monitering, regulating, and evaluating) are suggested for students' activities in each stage. Also, in order to support students' programming activities and the use of metacognition, instructional strategies based on cognitive apprenticeship (i.e. modeling, coaching and scaffolding) are suggested in relation to the instructional model. In addition, in order to support students' metacognitive activities. the model is designed to use self-questioning, and questions that students can use at each stage of the model are presented.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.369-376
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• 2021

With the development of artificial intelligence (AI) technology, discussions on the use of artificial intelligence are actively taking place in many fields, and various policies for nurturing artificial intelligence talents are being promoted in the field of education. In this study, we propose a robot programming framework using artificial intelligence technology, and based on this, we use Python, which is used frequently in the machine learning field, and an educational robot that is highly utilized in the field of education to provide artificial intelligence. (AI) education program was proposed. The level of autonomous driving (levels 0-5) suggested by the International Society of Automotive Engineers (SAE) is simplified to four levels, and based on this, the camera attached to the robot recognizes and detects lines (objects). The goal was to make a line detector that can move by itself. The developed program is not a standardized form of solving a given problem by simply using a specific programming language, but has the experience of defining complex and unstructured problems in life autonomously and solving them based on artificial intelligence (AI) technology. It is meaningful.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.01a
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• pp.127-130
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• 2012

수학은 기초학문으로서 합리성과 창의성을 기르는 중요한 과목이다. 하지만 학생들에게는 어렵고 두려운 과목으로 되어가는 게 현실이다. 한편 STEM은 학문 간의 벽을 허물고 서로 융합하여 과학, 수학, 공학, 기술 등의 과목에 흥미도를 높이기 위한 대안적 교육이다. STEM교육의 도구로 로봇이 효과적인 것으로 연구되어 있다. 따라서 STEM 기반의 로봇교육을 하여 수학에 대한 흥미도를 높이고자 수학학습프로그램을 개발하였다.