• Title/Summary/Keyword: Robot programming

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The Effects of MINDSTORMS Programming Instruction on the Creativity (MINDSTORMS을 이용한 프로그래밍 학습이 창의력에 미치는 효과)

  • Yoo, In-Hwan;Kim, Tae-Wan
    • The Journal of Korean Association of Computer Education
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    • v.9 no.1
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    • pp.49-59
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    • 2006
  • Traditional programming education lacked consideration of contents, methods and learners. In particular, the importance of programming education has been decreased in school because almost no suitable teaching has been executed for elementary school students. To solve these problems, this study proposed the use of MINDSTORMS that is a programming education tool suitable for elementary school students, and verified its effects on learners' creativity. The results of this study show that the tool is highly effective in improving students' creativity. The objectives of programming education are not only learning programming languages but also improving problem-solving ability, logical thinking and creativity. We must offer environment, in which students can control their own learning activity and solve problems by themselves. In addition, MINDSTORMS can be a very useful and suitable tool for programming education.

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Collision-Free Path Planning for Robot Manipulator using SOM (SOM(Self-Organization Map)을 이용한 로보트 매니퓰레이터 충돌회피 경로계획)

  • Rhee, Jong-Woo;Rhee, Jong-Tae
    • Journal of Korean Institute of Industrial Engineers
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    • v.22 no.3
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    • pp.499-515
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    • 1996
  • The basic function of on industrial robot system is to move objects in the workspace fast and accurately. One difficulty in performing this function is that the path of robot should be programmed to avoid the collision with obstacles, that is, tools, or facilities. This path planning requires much off-line programming time. In this study, a SOM technique to find the collision-free path of robot in real time is developed. That is, the collision-free map is obtained through SOM learning and a collision-free path is found using the map in real time during the robot operation. A learning procedure to obtain the map and an algorithm to find a short path using the map is developed and simulated. Finally, a path smoothing method to stabilize the motion of robot is suggested.

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Study of integrated control system for factory automation (공장자동화를 위한 통합제어시스템에 관한 연구)

  • 최경현;윤지섭
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.1245-1248
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    • 1996
  • This paper describes a cell programming environment that deals with problems associated with programming Flexible Manufacturing Cells(FMCs). The environment consists of the cell programming editor and the automatic generation module. In the cell programming editor, cell programmers can develop cell programs using task level description set which supports task-oriented specifications for manipulation cell activities. This approach to cell programming reduces the amount of details that cell programmers need to consider and allows them to concentrate on the most important aspects of the task at hand. The automatic generation module is used to transform task specifications into executable programs used by cell constituents. This module is based on efficient algorithm and expert systems which can be used for optimal path planning of robot operations and optimal machining parameters of machine tool operations. The development tool in designing the environment is an object-oriented approach which provides a simple to use and intuitive user interface, and allows for an easy development of object models associated with the environment.

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Behavior Evolution of Autonomous Mobile Robot(AMR) using Genetic Programming Based on Evolvable Hardware

  • Sim, Kwee-Bo;Lee, Dong-Wook;Zhang, Byoung-Tak
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.2 no.1
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    • pp.20-25
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    • 2002
  • This paper presents a genetic programming based evolutionary strategy for on-line adaptive learnable evolvable hardware. Genetic programming can be useful control method for evolvable hardware for its unique tree structured chromosome. However it is difficult to represent tree structured chromosome on hardware, and it is difficult to use crossover operator on hardware. Therefore, genetic programming is not so popular as genetic algorithms in evolvable hardware community in spite of its possible strength. We propose a chromosome representation methods and a hardware implementation method that can be helpful to this situation. Our method uses context switchable identical block structure to implement genetic tree on evolvable hardware. We composed an evolutionary strategy for evolvable hardware by combining proposed method with other's striking research results. Proposed method is applied to the autonomous mobile robots cooperation problem to verify its usefulness.

The Effects of Robot Based Mathematics Learning on Learners' Attitude and Problem Solving Skills (로봇 활용 수학학습이 학습태도 및 문제해결능력에 미치는 영향)

  • Park, Jung-Ho;Kim, Chul
    • The Journal of Korean Association of Computer Education
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    • v.13 no.5
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    • pp.71-80
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    • 2010
  • A lot of studies in and outside the country says that robots can become an effective tool in developing creativity, problem solving skills and positive learning motivation in the knowledge and information era. This study aims to verify the educational effect of robots in mathematics education by applying robots to mathematics education as a learning tool in an effort to improve the teaching/learning environment. For this study, the mathematics curriculum of elementary school and robot programming were analyzed and then a robot integrated mathematics program was developed. The developed program was applied to the mathematics education of an elementary school year 5 over 16 times. The result of the study showed that the experimental group which used the robot integrated program has better learning attitude and problem solving skills than the group which used the traditional method. The result also showed that the mathematics activities that used robot programming contributed to developing problem solving skills and provided positive mathematics learning experience.

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Implementation of LabVIEW®-based Joint-Linear Motion Blending on a Lab-manufactured 6-Axis Articulated Robot (RS2) (LabVIEW® 기반 6축 수직 다관절 로봇(RS2)의 이종 모션 블랜딩 연구)

  • Lee, D.S.;Chung, W.J.;Jang, J.H.;Kim, M.S.
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.22 no.2
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    • pp.318-323
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    • 2013
  • For fast and accurate motion of 6-axis articulated robot, more noble motion control strategy is needed. In general, the movement strategy of industrial robots can be divided into two kinds, PTP (Point to Point) and CP (Continuous Path). Recently, industrial robots which should be co-worked with machine tools are increasingly needed for performing various jobs, as well as simple handling or welding. Therefore, in order to cope with high-speed handling of the cooperation of industrial robots with machine tools or other devices, CP should be implemented so as to reduce vibration and noise, as well as decreasing operation time. This paper will realize CP motion (especially joint-linear) blending in 3-dimensional space for a 6-axis articulated (lab-manufactured) robot (called as "RS2") by using LabVIEW$^{(R)}$ (6) programming, based on a parametric interpolation. Another small contribution of this paper is the proposal of motion blending simulation technique based on Recurdyn$^{(R)}$ V7 and Solidworks$^{(R)}$, in order to figure out whether the joint-linear blending motion can generate the stable motion of robot in the sense of velocity magnitude at the end-effector of robot or not. In order to evaluate the performance of joint-linear motion blending, simple PTP (i.e., linear-linear) is also physically implemented on RS2. The implementation results of joint-linear motion blending and PTP are compared in terms of vibration magnitude and travel time by using the vibration testing equipment of Medallion of Zonic$^{(R)}$. It can be confirmed verified that the vibration peak of joint-linear motion blending has been reduced to 1/10, compared to that of PTP.

A Speed-Based Dijkstra Algorithm for the Line Tracer Control of a Robot (로봇 경로 제어를 위한 속도기반 Dijkstra 알고리즘)

  • Cheon, Seong-Kwon;Kim, Geun-Deok;Kim, Chong-Gun
    • Journal of Information Technology Services
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    • v.10 no.4
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    • pp.259-268
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    • 2011
  • A robot education system by emulation based on Web can be efficiently used for understanding concept of robot assembly practice and control mechanism of robot by control programming. It is important to predict the path of the line tracer robot which has to be decided by the robot. Shortest Path Algorithm is a well known algorithm which searches the most efficient path between the start node and the end node. There are two related typical algorithms. Dijkstra Algorithm searches the shortest path tree from a node to the rest of the other nodes. $A^*$ Algorithm searches the shortest paths among all nodes. The delay time caused by turning the direction of navigation for the line tracer robot at the crossroads can give big differences to the travel time of the robot. So we need an efficient path determine algorithm which can solve this problem. Thus, It is necessary to analyze the overhead of changing direction of robot at multi-linked node to determine the next direction for efficient routings. In this paper, we reflect the real delay time of directional changing from the real robot. A speed based Dijkstra algorithm is proposed and compared with the previous ones to analyze the performance.

Development and Application of Robot Curriculum Based Education in Insects Robot (곤충형 로봇 제작에 기반한 로봇 교육과정 개발 및 적용)

  • Moon, Wae-Shik;Yoo, Seoung-Han
    • Journal of The Korean Association of Information Education
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    • v.14 no.2
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    • pp.209-218
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    • 2010
  • Robot Curriculum based education in Insects Robot help elementary school students better understand how a robot works. This robot curriculum is aimed at elementary school students in fifth grade. This study progressed with LEGO(R) MINDSTORMS(R) NXT, departed 6 groups, reached the insect's movement, designed robot like insects. This curriculum enhanced discussion prowess and improved the ability of building robot. During this study, most of the students were attracted to the action of the robot-like insect's movement.

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Development of an Internet-based Robot Education System

  • Hong, Soon-Hyuk;Jeon, Jae-Wook
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.616-621
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    • 2003
  • Until now, many networked robots have been connected to the Internet for the various applications. With these networked robots, very long distance teleoperation can be possible through the Internet. However, the promising area of the Internet-based teleoperation may be distance learning, because of several reasons such as the unpredictable characteristics of the Internet. In robotics class, students learn many theories about robots, but it is hard to perform the actual experiments for all students due to the rack of the real robots and safety problems. Some classes may introduce the virtual robot simulator for students to program the virtual robot and upload their program to operate the real robot through the off-line programming method. However, the students may also visit the laboratory when they want to use the real robot for testing their program. In this paper, we developed an Internet-based robot education system. The developed system was composed of two parts, the robotics class materials and the web-based Java3d robot simulator. That is, this system can provide two services for distance learning to the students through the Internet. The robotics class materials can be provided to the student as the multimedia contents on the web page. As well, the web-based robot simulator as the real experiment tool can help the students get good understanding about certain subject. So, the students can learn the required robotics theories and perform the real experiments from their web browser when they want to study themselves at any time.

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Path Optimization Using an Genetic Algorithm for Robots in Off-Line Programming (오프라인 프로그래밍에서 유전자 알고리즘을 이용한 로봇의 경로 최적화)

  • Kang, Sung-Gyun;Son, Kwon;Choi, Hyeuk-Jin
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.10
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    • pp.66-76
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    • 2002
  • Automated welding and soldering are an important manufacturing issue in order to lower the cost, increase the quality, and avoid labor problems. An off-line programming, OLP, is one of the powerful methods to solve this kind of diversity problem. Unless an OLP system is ready for the path optimization in welding and soldering, the waste of time and cost is unavoidable due to inefficient paths in welding and soldering processes. Therefore, this study attempts to obtain path optimization using a genetic algorithm based on artificial intelligences. The problem of welding path optimization is defined as a conventional TSP (traveling salesman problem), but still paths have to go through welding lines. An improved genetic algorithm was suggested and the problem was formulated as a TSP problem considering the both end points of each welding line read from database files, and then the transit problem of welding line was solved using the improved suggested genetic algorithm.