Earticle

현재 위치 Home

Cooperative Fishing Boat Robots Model for Extreme Worker

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    International Journal of Internet, Broadcasting and Communication KCI 등재후보 바로가기
  • 통권
    Vol.10 No.2 (2018.05)바로가기
  • 페이지
    pp.79-83
  • 저자
    Seunghan Sin, Kyeongae Yang, Jaeheon Kim, Seungjung Shin
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A332207

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

원문정보

초록

영어
According to the Korea Robotics Industry Association, the number of robots companies, sales and production are steadily increasing until 2016, and the global robot market outlook is expected to continue to increase until 2025. We need to develop more attention to robots that can make life easier for us and can replace human tasks that we cannot do. It is predicted that robots will be more developed in the future with the above statistics, and future robots will be more activated by robots that can depend on each other, fix each other, and adapt to the changing environment without humans. Therefore, the shape of the robots in the future will be developed as a group robot(swarmbot) that cooperate with each other while the robot works. These robots have been studied for a longtime, but there are only two community robots that are applied in real life, only two of which are jailbreaking robots made in KAIST and KIVA robots made in Amazon company. In the future, as these robots develop more and more, and environment where robots can live without human intervention is created, so that a plurality of robots can collaborate and do individual work.

목차

Abstract
 1. Introduction
 2. Method of Communication
  2.1 MQTT Structure
  2.2 Node MCU
 3. Model Proposal
 4. Conclusion
 References

키워드

Swarmbot Fishing Boat Robots MQTT Structure.

저자

  • Seunghan Sin [ Korea Institute of Industrial Technology, Seoul, Korea ] Corresponding author
  • Kyeongae Yang [ Hansei University, Gunpo, Korea ]
  • Kyeongae Yang [ Hansei University, Gunpo, Korea ]
  • Jaeheon Kim [ Hansei University, Gunpo, Korea ]
  • Seungjung Shin [ Hansei University, Gunpo, Korea ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    International Journal of Internet, Broadcasting and Communication
  • 간기
    계간
  • pISSN
    2288-4920
  • eISSN
    2288-4939
  • 수록기간
    2009~2025
  • 십진분류
    KDC 326 DDC 380

이 권호 내 다른 논문 / International Journal of Internet, Broadcasting and Communication Vol.10 No.2

    피인용수 : 0(자료제공 : 네이버학술정보)

    함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.

      페이지 저장