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.
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
The work present in this paper deals with a navigation problem for multiple mobile robots in unknown indoor environments. The environments are completely unknown to the robots; thus, proximity sensors installed on the robots’ bodies must be used to detect information about the surroundings. The environments simulated in this work are dynamic ones which contain not only static but also moving obstacles. In order to guide the robot to move along a collision-free path and reach the goal, this paper presented a navigation method based on fuzzy approach. Then genetic algorithms were applied to optimize the membership functions and rules of the fuzzy controller. The simulation results verified that the proposed method effectively addresses the mobile robot navigation problem.
목차
Abstract
1. Introduction
2. Problem formulation and working assumptions
3. Fuzzy Logic Controllers
4. Optimized FLC by GA
5. Simulation Results
6. Conclusions
References
참고문헌 (12)
참고문헌 신청
D. Janglova, “Neural Networks in Mobile Robot Motion,” International Journal of Advanced Robotic Systems, Vol. 1, No. 1, pp. 15-22, 2004.
C. C. Hsu, Y. C. Liu, “Path planning for robot navigation based on Cooperative Genetic Optimization,” Networking, Sensing and Control (ICNSC), 2014 IEEE 11th International Conference on, IEEE, pp. 316-321, April 2014.
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.
S. S. Ge, Y. J. Cui, “Dynamic motion planning for mobile robots using potential field method,” Autonomous Robots, Vol. 13, No. 3, pp. 207-222, 2002.
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Mobile Robot Navigation using Optimized Fuzzy Controller by Genetic Algorithm
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Fuzzy-based Path Planning for Multiple Mobile Robots in Unknown Dynamic Environment
Journal of Electrical Engineering & Technology
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Collision-free Navigation of a Mobile Robot in Dynamic Environments using Optimized Fuzzy Approach
한국지능시스템학회 학술발표 논문집
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Real-time Navigation for Multiple Mobile Robots in Dynamic Environments based on Fuzzy Logic
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Fuzzy Logic Based Navigation for Multiple Mobile Robots in Indoor Environments
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Intelligent Navigation Algorithm for Mobile Robots based on Optimized Fuzzy Logic
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Intelligent Navigation for Multiple Mobile Robots with Dynamic Obstacles
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Sensor-based Navigation for Autonomous Mobile Robots using Fuzzy Inference
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Sensor-based Navigation for Multiple Mobile Robots using Fuzzy Inference
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Cooperative Fishing Boat Robots Model for Extreme Worker
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UCI(KEPA) : I410-ECN-0101-2017-560-002003996