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An application of a generalized architecture to an autonomous underwater vehicle
Lin CL(林昌龙)1; Zhang, Guoliang1; Li, Jing1; Chen, Yan1; Zhang, Yiwen1; Li YP(李一平)2
作者部门机器人学研究室
会议名称2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017
会议日期December 5-8, 2017
会议地点Macau, China
会议主办者Beijing Institute of Technology ; City University of Hong Kong ; IEEE Robotics and Automation Society ; Shenzhen Academy of Robotics ; University of Hong Kong ; University of Macau
会议录名称Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics
出版者IEEE
出版地New York
2017
页码122-127
收录类别EI
EI收录号20182905569754
产权排序2
ISBN号978-1-5386-3741-8
关键词Autonomous Underwater Vehicle architecture generalized
摘要A common feature of unmanned vehicles is their complexity, which grows apace and provides its own challenges. Frameworks for managing this growing complexity have always been one of the key aspects of designing an unmanned vehicle. In our previous work, a generalized architecture is proposed to not only address the complexity in developing an unmanned vehicle, but also support the algorithm exchange and technology transfer for integrating efforts from different researchers. In this paper, we applied this architecture to the control system of a practical vehicle. In the development of the control system, object oriented method is adopted and the specialization process of element classes from abstract to detail is presented. Then standards for the architecture is discussed. Finally, field experiments are carried out to validate the effectiveness of this architecture.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/22125
专题机器人学研究室
通讯作者Lin CL(林昌龙)
作者单位1.College of Computer Science and Technology, Huaqiao University, Xiamen, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, CAS, Shenyang, China
推荐引用方式
GB/T 7714
Lin CL,Zhang, Guoliang,Li, Jing,et al. An application of a generalized architecture to an autonomous underwater vehicle[C]//Beijing Institute of Technology, City University of Hong Kong, IEEE Robotics and Automation Society, Shenzhen Academy of Robotics, University of Hong Kong, University of Macau. New York:IEEE,2017:122-127.
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