• Title/Summary/Keyword: Arduino Robot

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Unmanned Surface Vehicle for Collecting Marine Debris (쓰레기 수거용 무인 수상로봇)

  • Oh, Myung Hoon;Kim, Jea Heung;Kim, Hyeon Min;Shin, Dong A;Kim, Dong Hun
    • Proceedings of the KIEE Conference
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    • 2015.07a
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    • pp.61-62
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    • 2015
  • This study presents a movable USV (Unmanned Surface Vehicle) based on Micro Controller. Recently, Micro Controller has widely used in application programming such as industry and education application. In particular, Robot is capable of collecting Marine Debris in any sea area is needed so We propose USV used IP camera for automatic driving, distance detection to control movement of USV in order to prevent of collision based on Arduino. Also, Surrounding situation taken by IP camera can be transmitted to monitor and smartphone.

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Development of a Jansen Mechanism for Line Tracing (라인 트레이싱을 위한 얀센 메커니즘 기구의 개발)

  • Gwon, O-Sun;Kim, Min-Su;Kim, U-Eun;Son, Hyeon-U;Im, Gyu-Do;Lee, Chun-Yeol
    • Proceeding of EDISON Challenge
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    • 2017.03a
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    • pp.511-515
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    • 2017
  • Various walking robot platforms have been developed to carry out missions such as explorations, pass of obstacle or inspections of dangerous environments. In this work, a four legs mechanism based on Jansen mechanism is developed, which can trace a certain line. In order to maximize the tracing speed, mechanism design is performed in multiple phases using m.sketch, EdisonDesign and Arduino programs. In design process, control of power path and optimization of the locus of legs(GL/GAC) are found to be most important. A prototype model is constructed and test run to check the validity of the design optimization.

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Library System Using Smart Robots (스마트 로봇을 활용한 도서관 시스템)

  • Tae-Seon Kim;Won-Gyu Lee;Jun-Yeop Park;Ju-Hyeong Lee;Jae-Hyeok Choi;Min-Seok Han;Sang-In Cheon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.263-264
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    • 2024
  • 최근 도서관을 찾는 이용객들이 증가하면서 도서관의 시설이 넓어지고 좋아지고 있다. 또한 책의 종류도 다양해졌다. 시설이 넓어지고 직접 책을 검색하여 찾으러 가기 힘들어지고 시간 소요도 많이 된다는 불편함이 있고 도서 대출증이 없다면 책을 빌리기 힘들고 사서에게 부탁해야 한다는 번거로움이 있다. 본 시스템은 이러한 문제를 해결하기 위해 이용객의 스마트폰에 회원 정보가 담긴 바코드를 부여하고 대여할 책을 로봇이 이용객에게 가져다주는 기능을 제공한다. 이로써 대출증 소유의 불편함과 책을 찾는 불필요한 시간을 단축할 수 있다. 또한 로봇을 이용하는 도서관이라는 타이틀로 이용객이 증가할 것으로 기대된다.

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Development of Control Board for Coding Education and Convergence Contents based on 3D Printing (코딩 교육용 제어 보드와 3D 프린팅 융복합 콘텐츠 개발)

  • Youm, Sung-Kwan;Kim, Young-Sang
    • Journal of the Korea Convergence Society
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    • v.9 no.9
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    • pp.1-8
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    • 2018
  • It is a key role in leading and activating coding education as a process to solve problems creatively to produce and provide the educational contents on the basis of 3D printing. In this paper, we develop a variety of fusion contents to use 3D printing and 8bit MCU base control board which provides specific functions through Arduino. The developed control program conducts various packet monitoring more than ten times per a second, supporting intrinsically full duplex. In addition, communication protocol optimized in conveying a lot of information enables to control different contents. The contents produced with the control board and 3D printing are useful as a programming education tool to train the principle and the concept of coding.

A Study on Portable Green-algae Remover Device based on Arduino and OpenCV using Do Sensor and Raspberry Pi Camera (DO 센서와 라즈베리파이 카메라를 활용한 아두이노와 OpenCV기반의 이동식 녹조제거장치에 관한 연구)

  • Kim, Min-Seop;Kim, Ye-Ji;Im, Ye-Eun;Hwang, You-Seong;Baek, Soo-Whang
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.4
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    • pp.679-686
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    • 2022
  • In this paper, we implemented an algae removal device that recognizes and removes algae existing in water using Raspberry Pi camera and DO (Dissolved Oxygen) sensor. The Raspberry Pi board recognizes the color of green algae by converting the RGB values obtained from the camera into HSV. Through this, the location of the algae is identified and when the amount of dissolved oxygen's decrease at the location is more than the reference value using the DO sensor, the algae removal device is driven to spray the algae removal solution. Raspberry Pi's camera uses OpenCV, and the motor movement is controlled according to the output value of the DO sensor and the result of the camera's green algae recognition. Algae recognition and spraying of algae removal solution were implemented through Arduino and Raspberry Pi, and the feasibility of the proposed portable algae removal device was verified through experiments.

Effects of maker education for high-school students on attitude toward software education, creative problem solving, computational thinking (고등학생 대상 메이커 교육이 소프트웨어 교육에 대한 태도, 창의적 문제해결력, 컴퓨팅 사고에 미치는 영향)

  • Hong, Wonjoon;Choi, Jae-Sung;Lee, Hyun
    • Journal of The Korean Association of Information Education
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    • v.24 no.6
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    • pp.585-596
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    • 2020
  • The purpose of this study is to examine effects of maker education for high-school students on attitude toward software education, creative problem solving, and computational thinking. The program was designed to develop an artificial intelligence robot using mBlock and Arduino and implemented at a maker space. We analyzed 19 students among 20 who participated in the program, the result of paired t-test indicated significant increase in all variables. Also, we performed a multiple regression analysis to investigate predictors of perceived achievement and satisfaction. The finding demonstrated an initial attitude toward software education was found to be the significant predictor of perceived achievement and satisfaction. With the results, we confirmed maker education enhances attitude toward software education, creative problem solving, and computational thinking. Lastly, we discussed the implications and limitations and suggested the direction for future research.

Design and Implementation of a Robot Analyzing Mental Disorder Risks for a Single-person Household Worker through Facial Expression-Detecting System (표정 감지 시스템을 통한 직장 생활을 하는 1인 가구의 정신질환 발병 위험도 분석 로봇 설계 및 구현)

  • Lee, Seong-Ung;Lee, Kang-Hee
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.1
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    • pp.489-494
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    • 2020
  • We propose to designs and to implements a robot analyzing the risk of occurrence of mental disorder of single-person households' workers through the facial expression-detecting system. Due to complex social factors, the number and proportion of single-person households continues to increase. In addition, contrast to the household of many family members, the prevalence of mental disorder among single-person household varies greatly. Since most patients with mental can not detect the disease on their own, counseling and treatment with doctors are often ignored. In this study, we design and implement a robot analyzing the risk of mental disorder of single-person households workers by constructing a system with Q.bo One, a social robot created by Thecorpora. Q.bo One is consisted of Arduino, ar raspberry pie, and other sensors designed to detect and respond to sensors in the direction users want to implement. Based on the DSM-5 provided by the American Psychiatric Association, the risk of mental disorder occurrence was specified based on mental disorder. Q.bo One analyzed the facial expressions of the subjects for a week or two to evaluate depressive disorder, anxiety disorder. If the mental disorder occurrence risk is high, Q.bo One is designd to inform the subject to counsel and have medical treatment with a specialist.

Development of Smart Laundry Drying System

  • Kim, Nuri;Lim, Huhnkuk
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.99-104
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    • 2022
  • In this paper, we first intend to develop and introduce a smart laundry drying system for verandas that controls the drying rack by actively responding to climate change. The developed smart laundry drying system receives laundry location information through the app, then detects climate change in real time through data from the Korea Meteorological Administration such as temperature and humidity according to the location information, and automatically controls the laundry on the drying rack in case of rain. It acquires weather information through the Arduino humidity sensor and the Korea Meteorological Administration Open-API, which is used to control the switch bot by the Raspberry Pi. The user interface uses Blynk, and the switch bot controls the laundry. Our proposed system can detect bad weather and automatically control the laundry at a remote location to prevent damage to the laundry.

Logistics Sorting System using Autonomous Driving Robot (자율주행 로봇을 이용한 물류 자동분류 시스템)

  • Kim, Tae-Sun;Kim, Sang-Hyeok;Kim, Ki-Hun;Oh, Yong-Teak;Lee, Jae-Hong;Jo, Woo-Bin;Kim, Kyung-Ho
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.491-492
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    • 2021
  • 현대사회의 물류 현장에서 근로자가 직접 물류를 분류하는 작업을 하거나 상하차 작업을 진행하고 있다. 본 논문에서 제안하는 자율주행 로봇을 이용한 물류 분류 시스템은 물류 운반 로봇과 컨베이어 벨트로 구성된다. 물류 운반 로봇은 경로 설정 및 장애물 감지가 가능한 자율주행 기능을 가지며, 컨베이어 벨트는 하차된 물류의 무게 측정과 배송 가격을 표시하는 기능을 가진다. 본 연구의 결과는 근로자들의 노동 강도와 육체적 또는 정신적인 피해로 인해 발생하는 산업재해의 발생률을 감소시킬 수 있는 기대와 심야 시간에 부족한 인력을 보충하여 24시간 물류센터를 가동할 수 있는 가능성을 가진다.

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Multifunctional Marine Exploration Robot for Fish Farm Management (양식장 관리를 위한 다기능 해양탐사 로봇)

  • Yeo, Sang-Sam;Park, Joo-Ryeoll;Lee, Dong-Kyu;Kim, Myeong-Gi;Yu, Ju-Young;Lee, Sang Hyeop
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.489-490
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    • 2021
  • 본 연구에서는 해양사고 처리 중 발생하는 인명사고 발생률을 감소시키고, 효율적으로 양식장을 관리하는 것을 전제로 카메라와 센서를 다기능 해양탐사 로봇에 적용하고자 한다. 현재의 양식장 관리 시스템은 수온 체크만 할 수 있게 되어있다. 이러한 시스템은 양식어에게 적합한 환경을 제공해주기 쉽지 않다. 본 논문은 이러한 문제점들을 개선하기 위해 기존의 해양 처리시스템과 양식 시스템 대신 카메라와 수온 센서, pH 농도 센서, 초음파 거리 센서, DC 모터, 블루투스 모듈을 적용한 다기능 해양탐사 로봇 기술을 제안한다. 기존의 시스템과는 다르게 안전하고 효율적으로 환경을 분석하고, 제어할 수 있다.

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