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논문을 무제한 열람 이용할 수 있어요.
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
- 학술대회자료
- 저자정보
- 발행연도
- 2016.10
- 수록면
- 859 - 864 (6page)
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
The work presented in this paper deals with a navigation problem for wheel mobile robots in unknown environments. Dynamic environments usually contain not only static but also moving obstacles. The environments are completely unknown to the robot; thus, in order to guide the robot along a collisions-free path efficiently to reach the goal position quickly, proximity sensors installed on the robot’s body must be used to detect information about the surroundings. In this paper, the navigation approach is achieved by a combination of primary behaviors which are used for dealing with different situations, that is, a danger judgment behavior based on the judgment of the direction and dangerous level of upcoming danger is developed for avoiding obstacles; when there is no collision risk, the robot will be guided towards its target according to a target positioning behavior. All the behaviors are achieved by means of fuzzy inference system. The proposed navigation method is demonstrated by simulation experiments implemented using Matlab; and the simulation results verified that the proposed method effectively addresses the mobile robot navigation problem.
목차
Abstract
1. INTRODUCTION
2. PROBLEM FORMULATION
3. DESIGN OF FUZZY LOGIC CONTROLLER
4. SPECIAL SITUATIONS IN OBSTACLE AVOIDANCE
5. SIMULATION RESULTS
6. CONCLUSION
REFERENCES
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Fuzzy-based Path Planning for Multiple Mobile Robots in Unknown Dynamic Environment
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Intelligent Navigation for Multiple Mobile Robots with Dynamic Obstacles
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GA-Fuzzy based Navigation of Multiple Mobile Robots in Unknown Dynamic Environments
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Fuzzy-based Navigation of Mobile Robots in Unknown Environments with Moving Obstacles
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Mobile Robot Navigation using Optimized Fuzzy Controller by Genetic Algorithm
INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS
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Collision-free Navigation of a Mobile Robot in Dynamic Environments using Optimized Fuzzy Approach
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Sensor-based Navigation for Autonomous Mobile Robots using Fuzzy Inference
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A Study on Real-Time Obstacle Avoidance of Mobile Robot with Four Wheels
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UCI(KEPA) : I410-ECN-0101-2017-003-001866819