An Improved Line Following Optimization Algorithm for Mobile Robot
被引:0
作者:
Li, Yichao
论文数: 0引用数: 0
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机构:
Chinese Acad Sci, Guangzhou Inst Adv Technol, Guangzhou, Guangdong, Peoples R China
South China Univ Technol, Dept Automat & Network Engn, Guangzhou, Guangdong, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Adv Technol, Guangzhou, Guangdong, Peoples R China
Li, Yichao
[1
,2
]
Wu, Xiaoling
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h-index: 0
机构:
Chinese Acad Sci, Guangzhou Inst Adv Technol, Guangzhou, Guangdong, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Adv Technol, Guangzhou, Guangdong, Peoples R China
Wu, Xiaoling
[1
]
Shin, Dongik
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Guangzhou Inst Adv Technol, Guangzhou, Guangdong, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Adv Technol, Guangzhou, Guangdong, Peoples R China
Shin, Dongik
[1
]
Wang, Weijun
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Guangzhou Inst Adv Technol, Guangzhou, Guangdong, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Adv Technol, Guangzhou, Guangdong, Peoples R China
Wang, Weijun
[1
]
Bai, Jianing
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h-index: 0
机构:
Chinese Acad Sci, Guangzhou Inst Adv Technol, Guangzhou, Guangdong, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Adv Technol, Guangzhou, Guangdong, Peoples R China
Bai, Jianing
[1
]
He, Qing
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Guangzhou Inst Adv Technol, Guangzhou, Guangdong, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Adv Technol, Guangzhou, Guangdong, Peoples R China
He, Qing
[1
]
Luo, Fei
论文数: 0引用数: 0
h-index: 0
机构:
South China Univ Technol, Dept Automat & Network Engn, Guangzhou, Guangdong, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Adv Technol, Guangzhou, Guangdong, Peoples R China
Luo, Fei
[2
]
Zheng, Weimin
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Guangzhou Inst Adv Technol, Guangzhou, Guangdong, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Adv Technol, Guangzhou, Guangdong, Peoples R China
Zheng, Weimin
[1
]
机构:
[1] Chinese Acad Sci, Guangzhou Inst Adv Technol, Guangzhou, Guangdong, Peoples R China
[2] South China Univ Technol, Dept Automat & Network Engn, Guangzhou, Guangdong, Peoples R China
来源:
2012 7TH INTERNATIONAL CONFERENCE ON COMPUTING AND CONVERGENCE TECHNOLOGY (ICCCT2012)
|
2012年
关键词:
mobile robot;
line following navigation;
the adaptive threshold;
phototransistor;
D O I:
暂无
中图分类号:
TP301 [理论、方法];
学科分类号:
081202 ;
摘要:
Although machine vision based robot navigation technology has become the mainstream nowadays, the traditional line following navigation still plays an important role because of its simple design and low cost. We have designed and tested a line follower robot and attended line follower robots competition. In order to address the common issues in the traditional robot line following navigation technology, such as weak environmental adaptability and vulnerability to the external ambient light, an improved line following navigation optimization algorithm have been proposed. The experiment results show that it improves the robustness and stability of the line following navigation robot control.
引用
收藏
页码:84 / 87
页数:4
相关论文
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Altaf K, 2007, INT C ROB AUT, P6
[2]
Arshad N. M, 2011, IEEE 7 INT C SIGN PR, P4
[3]
Makrodimitris M, 2011, 2011 IEEE ASME INT C, P3