지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.12 No.2
- 발행연도
- 2017.3
- 수록면
- 918 - 925 (8page)
이용수
이 논문의 연구 히스토리 (12)
2018
2017
Intelligent Navigation for Multiple Mobile Robots with Dynamic Obstacles
Ran Zhao
,
Hong-Kyu Lee
제어로봇시스템학회 논문지
2017.09
학술저널
Fuzzy-based Path Planning for Multiple Mobile Robots in Unknown Dynamic Environment
Ran Zhao
,
Hong-Kyu Lee
Journal of Electrical Engineering & Technology
2017.03
학술저널
GA-Fuzzy based Navigation of Multiple Mobile Robots in Unknown Dynamic Environments
Ran Zhao
,
Hong-Kyu Lee
전기학회논문지
2017.01
학술저널
2016
Real-time Navigation for Multiple Mobile Robots in Dynamic Environments based on Fuzzy Logic
Ran Zhao
,
Dong-Hwan Lee
,
Hong-Kyu Lee
제어로봇시스템학회 국제학술대회 논문집
2016.10
학술대회자료
Collision-free Navigation of a Mobile Robot in Dynamic Environments using Optimized Fuzzy Approach
Ran Zhao
,
DongHwan Lee
,
HongKyu Lee
한국지능시스템학회 학술발표 논문집
2016.04
학술대회자료
2015
Fuzzy Logic Based Navigation for Multiple Mobile Robots in Indoor Environments
Ran Zhao
,
Dong Hwan Lee
,
Hong Kyu Lee
INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS
2015.12
학술저널
Sensor-based Navigation for Multiple Mobile Robots using Fuzzy Inference
Ran Zhao
,
DongHwan Lee
,
HongKyu Lee
한국지능시스템학회 학술발표 논문집
2015.10
학술대회자료
Sensor-based Navigation for Autonomous Mobile Robots using Fuzzy Inference
Ran Zhao
,
XiangBin Mu
,
DongHwan Lee
외 1명
제어로봇시스템학회 국내학술대회 논문집
2015.05
학술대회자료
Fuzzy-based Navigation of Mobile Robots in Unknown Environments with Moving Obstacles
Ran Zhao
,
DongHwan Lee
,
HongKyu Lee
한국지능시스템학회 학술발표 논문집
2015.04
학술대회자료
Mobile Robot Navigation using Optimized Fuzzy Controller by Genetic Algorithm
Ran Zhao
,
Dong Hwan Lee
,
Hong Kyu Lee
INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS
2015.03
학술저널
- 이 논문의 후속연구가 궁금하신가요?
- 연관 학술논문 또는 학술발표를 통해 보다 발전된 연구결과를 확인하실 수 있습니다.
- 이 논문의 연구 히스토리 확인하기
초록· 키워드
오류제보하기
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.
목차
Abstract
1. Introduction
2. Modeling of Wheel Mobile Robot
3. Design of Fuzzy Logic Controller
4. Special Situations in Obstacle Avoidance
5. Simulation Results
6. Conclusion
References
참고문헌 (14)
참고문헌 신청
D. Janglova, “Neural Networks in Mobile Robot Motion,” International Journal of Advanced Robotic Systems, Vol. 1, No. 1, pp. 15-22, 2004.
K. H. Low, W. K. Leow, Ang, M. H. Jr., “Integrated Planning and Control of Mobile Robot with Selforganizing Neural Network,” in Proceedings of ICRA'02. IEEE International Conference on Robotics and Automation, vo1. 4, pp. 3870-3875, 2002.
C. E. Thomas, M. A. C. Pacheco, M. M. and B. R. Vellasco, “Mobile Robot Path Planning Using Genetic Algorithms in Foundations and Tools for Neural Modeling,” Springer Berlin/ Heidelberg, vol. 1606/1999, pp. 671- 679, 1999.
R. Carelli, C.M. Soria and B. Morales, “Vision-based Tracking Control for Mobile Robots,” in Proceedings of 12th International Conference on Advanced Robotics, pp. 148-152, July 2005.
P. K. Padhy, T. Sasaki, S. Nakamura and H. Hashimoto, “Modeling and Position Control of Mobile Robot,” in Proceedings of 11th IEEE international Workshop on Advanced Motion Control, pp. 100-105, Mar. 2010.
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UCI(KEPA) : I410-ECN-0101-2017-560-002172863