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
- 발행연도
- 2017.9
- 수록면
- 711 - 717 (7page)
- DOI
- 10.5302/J.ICROS.2017.17.0101
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 addresses a navigation problem for multiple mobile robots in unknown dynamic environments. The environments are completely unknown to the robots and the surrounding environments should be detected by the proximity sensors installed on the robots’ bodies. To guide the robot’s movement along collision-free paths and reach the goal positions, an intelligent navigation method based on the combination of primary strategies has been developed. The indoor environments usually contain convex and concave obstacles. In this work, a danger judgment strategy in accordance with the sensor data is used to avoid small convex obstacles or other robots. Furthermore, a wall-following strategy is designed to address the special situations involving large convex or concave obstacles. Finally, when there is no collision risk, the robots will be guided toward the corresponding targets according to a target positioning strategy. All these strategies are achieved using fuzzy logic controllers, and are uniformly applied to each robot. The simulation verified that the proposed method has encouraging effectiveness for solving the navigation problem.
목차
Abstract
I. INTRODUCTION
II. PROBLEM FORMULATION
III. NAVIGATION STRATEGIES
IV. SIMULATION RESULTS
V. CONCLUSIONS
REFERENCES
참고문헌 (17)
참고문헌 신청
D. Janglova, “Neural networks in mobile robot motion,” International Journal of Advanced Robotic Systems, vol. 1, no. 1, pp. 15-22, 2004.
J. K. Park and J. B. Park, An Object Recognition Method Based on Depth Information for an Indoor Mobile Robot, Journal of Institute of Control, Robotics and Systems(in Korean), vol. 21, no. 10, pp. 958-964, Oct. 2015.
C. E. Thomas, M. A. C. Pacheco, and M. M. B. R. Vellasco, “Mobile robot path planning using genetic algorithms,” Proc. of International Work-Conference on Artificial Neural Networks, Springer Berlin Heidelberg, pp. 671- 679, 1999.
R. Carelli, C. M. Soria, and B. Morales, “Vision-based tracking control for mobile robots,” Proc . of 12th International Conference on Advanced Robotics (ICAR'05), pp. 148-152, Seattle, WA, Jul. 2005.
W. J. Yim and J. B. Park, “Analysis of mobile robot navigation using vector field histogram according to the number of sectors, the robot speed and the width of the path,” Proc. of 2014 14th International Conference on Control, Automation and Systems (ICCAS), IEEE, pp. 1037-1040, Oct. 2014.
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UCI(KEPA) : I410-ECN-0101-2018-003-001255327