• Title/Summary/Keyword: Robot utilization

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Design and Validation of Robot Curriculum in Education for the Gifted Elementary Students of Computer Science (초등정보과학영재를 위한 로봇교육과정의 설계 및 검증)

  • Lee, Jae-Ho;Nam, Gil-Hyun
    • Journal of Gifted/Talented Education
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    • v.19 no.3
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    • pp.669-695
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    • 2009
  • In the 21st century, there will be a robot revolution. Only several years ago, industrial robots were the mainstream in the robot market; however, diverse type of robots are currently entering into our daily lives for various purposes, and the robot that thinks and behaves very similarly to human will appear in the near future. However, there is a critical view about the robot period. This means that the robot revolution will change even the framework of our entire society and human life style, and it is necessary to have robot education. It is necessary to start robot education in the elementary school curriculum with a view to enhancing interest in basic science and scientific technology and cultivating creative talents who may adapt themselves to a robotic society. However, there is no systematic robot curriculum owing to insufficient perception of the need of robot education and the educational utilization of robots. Under these circumstances, robot education is largely dependent on education for students with special talents and aptitudes run by private organizations. This paper conducted the following research in order to develop a robot curriculum in education for the gifted elementary students of computer science. First, the paper identified problems by analyzing the robot curriculum from a micro perspective after selecting three organizations that are relatively well perceived out of private organizations that operate robot education for the gifted elementary students of computer science. Second, the paper developed a robot curriculum in education for the gifted elementary students of computer science based on the framework of a robot curriculum run by private sector. Third, the validity of the robot curriculum developed in this paper was verified by a professional group comprising mainly persons in charge of robot curriculum development at private sector and lecturers for robot education for the gifted elementary students of computer science.

PC controlled Autonomous Navigation System for GPS Guided Field Robot (GPS를 이용한 필드로봇의 PC기반 자율항법 제어 시스템)

  • Han, Jae-Won;Park, Jae-Ho;Hong, Sung-Kyung;Ryuh, Young-Sun
    • Journal of Biosystems Engineering
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    • v.34 no.4
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    • pp.278-285
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    • 2009
  • Navigation system is applied in variety of fields including the simple location positioning, autopilot navigation of unmanned robot tractor, autonomous guidance systems for agricultural vehicles, construction of large field works that require high precision and map making process. Particularly utilization of GPS (Global Positioning System) is very common in the present navigation system. This study introduces a navigation system for autonomous field robot that travels to the pre-input path using GPS information. Performance of the GPS- based navigation is highly depended on its receiving rate because GPS receivers do not acquire any navigation information in the period between the refresh intervals. So this study presents an algorithm that improves an accuracy of the navigation by estimation the positional information during the blind period of a low rate GPS receiver. In fact the algorithm calculated the robot's heading in a 50 Hz rate, so the blind period of an 1 Hz GPS receiver is extensively covered. Consequently implementation of the algorithm to the GPS based navigation showed an improvement in guidance accuracy. The conventional field robot directly carried an expensive control computer and sensors onboard, therefore the miniaturization and weight reduction of the robot was limited. In this paper, the field robot carried only communication equipments such as GPS module, normal RC receiver, and bluetooth modem. This enabled the field robot to be built in an economic cost and miniature size.

A Study on the Analysis and Application of Educational Robot Simulation tool in Robot Programming Education (초등 프로그래밍 교육에서 로봇 시뮬레이션 도구의 활용)

  • Shim, JaeKwoun;Lee, WonGyu;Kim, JaMee
    • Journal of Digital Convergence
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    • v.12 no.5
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    • pp.425-433
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    • 2014
  • The utilization of robots in programming education students the interest and motivation of learning. But at the same time the robot is required that understanding of the structure and understand the internal program(programming). So what problems are caused by error or if the student has difficulty identifying. The purpose of this study is the use of simulation tool in robot programming education possibilities will want to see. Elementary school students to analyze the possibility of non-simulation tool and simulation tool was applied. And usability evaluation and simulation tool, the survey recognized the potential of the education were analyzed. As a result, the usability of between simulation tool and non-simulation tool and there was no difference. And student can preview the results of programming and simulation tool can easily identify errors for recognizing the positive respectively. Based on this results, simulation tool can be utilized in robot education.

Utilization of Artificial Intelligence to Robot Control Systems (로봇제어에서의 인공지능 이용)

  • 최병오
    • Journal of the KSME
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    • v.34 no.10
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    • pp.780-786
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    • 1994
  • 지금까지는 많은 노력이 로봇자체의 지능화 노력과 각종 센서의 개발과 활용기술의 발달로 로 봇이 작업상황과 환경을 쉽게 인식할 수 있게 되었으며, 이러한 센서들의 원리와 응용에 대한 정보는 문헌에서 쉽게 찾아 볼 수 있다. 따라서 여기서는 로봇제어의 관점에서 본 인공지능의 활용측면에서 서술하고자 한다.

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Research of intelligent rhythm service of edutainment humanoid robot (에듀테인먼트 휴머노이드 로봇의 지능적인 율동 서비스 연구)

  • Yoon, Taebok;Na, Eunsuk
    • Journal of Korea Game Society
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    • v.18 no.4
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    • pp.75-82
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    • 2018
  • With the development of information and communication technology, various methods have been tried to provide learners with a fun educational environment through fun and interest. It is a good example to utilize technologies such as games and robots in education for edutainment and game-based learning. In this study, we propose an intelligent rhythm education system using user data collection and analysis for humanoid robot rhythm generation. To do this, the user selects music and inputs rhythm information according to the selected music. The robot utilization data of this user extracts patterns through collection and analysis. Patterns are based on frequency, and FFT similarity comparison method is applied when past data is insufficient. The proposed method is validated through experiments of kindergarten children.

Design of Voice Control Solution for Industrial Articulated Robot (산업용 다관절로봇 음성제어솔루션 설계)

  • Kwak, Kwang-Jin;Kim, Dae-Yeon;Park, Jeongmin
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.2
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    • pp.55-60
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    • 2021
  • As the smart factory progresses, the use of automation facilities and robots is increasing. Also, with the development of IT technology, the utilization of the system using voice recognition is also increasing. Voice recognition technology is a technology that stands out in smart home and various IoT technologies, but it is difficult to apply to factories due to the specificity of factories. Therefore, in this study, a method to control an industrial articulated robot was designed using voice recognition technology that considers the situation at the manufacturing site. It was confirmed that the robot could be controlled through network protocol and command conversion after receiving voice commands for robot operation through mobile.

Quadruped Robot for Walking on the Uneven Terrain and Object Detection using Deep Learning (딥러닝을 이용한 객체검출과 비평탄 지형 보행을 위한 4족 로봇)

  • Myeong Suk Pak;Seong Min Ha;Sang Hoon Kim
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.5
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    • pp.237-242
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    • 2023
  • Research on high-performance walking robots is being actively conducted, and quadruped walking robots are receiving a lot of attention due to their excellent mobility and adaptability on uneven terrain, but they are difficult to introduce and utilize due to high cost. In this paper, to increase utilization by applying intelligent functions to a low-cost quadruped robot, we present a method of improving uneven terrain overcoming ability by mounting IMU and reinforcement learning on embedded board and automatically detecting objects using camera and deep learning. The robot consists of the legs of a quadruped mammal, and each leg has three degrees of freedom. We train complex terrain in simulation environments with designed 3D model and apply it to real robot. Through the application of this research method, it was confirmed that there was no significant difference in walking ability between flat and non-flat terrain, and the behavior of performing person detection in real time under limited experimental conditions was confirmed.

Study of Robust Position Recognition System of a Mobile Robot Using Multiple Cameras and Absolute Space Coordinates (다중 카메라와 절대 공간 좌표를 활용한 이동 로봇의 강인한 실내 위치 인식 시스템 연구)

  • Mo, Se Hyun;Jeon, Young Pil;Park, Jong Ho;Chong, Kil To
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.41 no.7
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    • pp.655-663
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    • 2017
  • With the development of ICT technology, the indoor utilization of robots is increasing. Research on transportation, cleaning, guidance robots, etc., that can be used now or increase the scope of future use will be advanced. To facilitate the use of mobile robots in indoor spaces, the problem of self-location recognition is an important research area to be addressed. If an unexpected collision occurs during the motion of a mobile robot, the position of the mobile robot deviates from the initially planned navigation path. In this case, the mobile robot needs a robust controller that enables the mobile robot to accurately navigate toward the goal. This research tries to address the issues related to self-location of the mobile robot. A robust position recognition system was implemented; the system estimates the position of the mobile robot using a combination of encoder information of the mobile robot and the absolute space coordinate transformation information obtained from external video sources such as a large number of CCTVs installed in the room. Furthermore, vector field histogram method of the pass traveling algorithm of the mobile robot system was applied, and the results of the research were confirmed after conducting experiments.

Rate Modulation Strategy for Behaviors of a Mobile Robot

  • Kim, Hong-Ryeol;Kim, Joo-Min;Kim, Dae-Won
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1109-1114
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    • 2003
  • In this paper, task control architecture is proposed for a mobile robot with behaviors based on cognition theory to endow the robot intelligence. In the task control architecture, task manager is introduced especially for the management of computational resource. The management is based on classical RMS (Rate Monotonic Strategy), but with online rate modulation strategy. The rate modulation is performed using the value variances of behavior execution for the task. Because the values are based on natively uncertain sensor information, they are modeled using PDF (probability Density Function). As a rate modulation process, the range of the rate modulation is defined firstly by real-time constraints of RMS and discrete control stability of behaviors. With the allowable range, rate modulations are performed considering harmonic bases to maintain utilization bound without decrease. To evaluate the efficiency of the proposed rate modulation strategy, a simulation test is performed to compare the efficiency between the control architecture with the proposed strategy and previous one. A performance index with the formalization of propensity of resource allocation is proposed and utilized for the simulation test. To evaluate the appropriateness of the performance index, the performance index is compared with practical one through a practical simulation test.

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Dynamic Management of Service Execution Contexts in Network-based Robots (네트워크 기반 로봇의 서비스 실행 컨텍스트 동적 관리)

  • Park, Jeong-Min;Lee, Jung-Jae;Yu, Beom-Jae
    • The KIPS Transactions:PartA
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    • v.16A no.6
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    • pp.489-500
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    • 2009
  • Robots have limited computing resources and robot services have different requirement such as sensors, actuators, computational capabilities and timeliness. In this paper, we propose a dynamic management method of service execution contexts to perform various services efficiently and to meet the time constraint of service in network-based robots. The proposed method is tested in the real network-based robot system. The results show that the real-time requirement for services is satisfied and the resource utilization is improved. The proposed method provides the extendability and flexibility of sensors and services by aptly modifying service execution contexts and increases the reusability of service.