Trajectory Tracking Control of a Unicycle-type Mobile Robot With a New Planning Algorithm
被引:0
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作者:
Li, Shuaijun
论文数: 0引用数: 0
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机构:
Chinese Univ Hong Kong, Adv Robot Lab, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Adv Robot Lab, Hong Kong, Peoples R China
Li, Shuaijun
[1
]
Zhang, Guilin
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Univ Hong Kong, Robot & Artificial Intelligence Lab, Shenzhen, Peoples R ChinaChinese Univ Hong Kong, Adv Robot Lab, Hong Kong, Peoples R China
Zhang, Guilin
[2
]
Lei, Xiangyu
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Univ Hong Kong, Robot & Artificial Intelligence Lab, Shenzhen, Peoples R ChinaChinese Univ Hong Kong, Adv Robot Lab, Hong Kong, Peoples R China
Lei, Xiangyu
[2
]
Yu, Xiao
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h-index: 0
机构:
Chinese Univ Hong Kong, Robot & Artificial Intelligence Lab, Shenzhen, Peoples R ChinaChinese Univ Hong Kong, Adv Robot Lab, Hong Kong, Peoples R China
Yu, Xiao
[2
]
Qian, Huihuan
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Univ Hong Kong, Robot & Artificial Intelligence Lab, Shenzhen, Peoples R ChinaChinese Univ Hong Kong, Adv Robot Lab, Hong Kong, Peoples R China
Qian, Huihuan
[2
]
Xu, Yangsheng
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Univ Hong Kong, Robot & Artificial Intelligence Lab, Shenzhen, Peoples R ChinaChinese Univ Hong Kong, Adv Robot Lab, Hong Kong, Peoples R China
Xu, Yangsheng
[2
]
机构:
[1] Chinese Univ Hong Kong, Adv Robot Lab, Hong Kong, Peoples R China
[2] Chinese Univ Hong Kong, Robot & Artificial Intelligence Lab, Shenzhen, Peoples R China
来源:
2017 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (IEEE ROBIO 2017)
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2017年
关键词:
Tracjectory Planning;
Trajectory Tracking;
Mobile Robots;
Robot Control;
D O I:
暂无
中图分类号:
TP24 [机器人技术];
学科分类号:
080202 ;
1405 ;
摘要:
Trajectory tracking control is one of the core techniques that impacts the auto-driving performance of a mobile robot Whereas, there lacks enough work on reference trajectory generation and controller design for practical usage. This paper considers mobile robots with unicycle vehicle model on which most of automatic guided vehicles (AGVs) in real world are built A new trajectory planning algorithm is developed, and is applied along with a control law considering constraints of the unicycle model and limited motor capabilities. The proposed algorithm is easy to be implemented on real world AGVs, and it yields a fast, accurate and robust trajectory tracking performance The effectiveness of the algorithm is validated by simulation tests.