DocumentCode
1728776
Title
Fuzzy-based obstacle avoidance for a mobile robot navigation in indoor environment
Author
Zih-Yang Dang ; Jiann-Der Lee
Author_Institution
Dept. of Electr. Eng., Chang Gung Univ., Taoyuan, Taiwan
fYear
2015
Firstpage
55
Lastpage
56
Abstract
This paper presents a real-time automatic obstacle avoidance system using the depth map provided by a RGBD sensor mounted on a mobile robot. A set of intelligent fuzzy rules are designed to construct a safe path to avoid obstacles in the unknown environment. According to the experimental results, this system has good performance while compared with the previous approaches and can work in dark environment.
Keywords
collision avoidance; fuzzy set theory; mobile robots; sensors; RGBD sensor; depth map; indoor environment; intelligent fuzzy rules; mobile robot navigation; real-time automatic obstacle avoidance system; Collision avoidance; Flowcharts; Indoor environments; Mobile robots; Navigation; Robot sensing systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on
Conference_Location
Taipei
Type
conf
DOI
10.1109/ICCE-TW.2015.7217028
Filename
7217028
Link To Document