Motion planning for climbing robot based on hybrid navigation
文献类型:期刊论文
作者 | Jiang, Yong; Wang, Hongguang; Fang, Lijin; Zhao, Mingyang |
刊名 | Advances in machine learning and cybernetics
![]() |
出版日期 | 2006 |
卷号 | 3930页码:91-100 |
ISSN号 | 0302-9743 |
通讯作者 | Jiang, yong(jiangyong@sia.cn) |
英文摘要 | In this paper, a motion planning method for autonomous control of a bipedal climbing robot based on hybrid navigation is presented. the algorithm of hybrid navigation blends the optimality of the trajectory planning with the capabilities in expressing knowledge and learning of the fuzzy neural network. the real task environment of the climbing robot is both known and dynamic. therefore the trajectory planning is used to search roughly for the optimal trajectories which will lead towards the goal according to prior data. meanwhile, by the process of the multi-sensor data fusion, the fuzzy neural network is employed in dealing efficiently with the uncertain and dynamic situations. the properties of motion planning based on the hybrid navigation are verified by the computer simulations and experiments. |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Computer Science, Information Systems |
语种 | 英语 |
WOS记录号 | WOS:000238282100010 |
出版者 | SPRINGER-VERLAG BERLIN |
URI标识 | http://www.irgrid.ac.cn/handle/1471x/2379061 |
专题 | 中国科学院大学 |
通讯作者 | Jiang, Yong |
作者单位 | 1.Chinese Acad Sci, Shenyang Inst Automat, Robot Lab, Shenyang 110016, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China |
推荐引用方式 GB/T 7714 | Jiang, Yong,Wang, Hongguang,Fang, Lijin,et al. Motion planning for climbing robot based on hybrid navigation[J]. Advances in machine learning and cybernetics,2006,3930:91-100. |
APA | Jiang, Yong,Wang, Hongguang,Fang, Lijin,&Zhao, Mingyang.(2006).Motion planning for climbing robot based on hybrid navigation.Advances in machine learning and cybernetics,3930,91-100. |
MLA | Jiang, Yong,et al."Motion planning for climbing robot based on hybrid navigation".Advances in machine learning and cybernetics 3930(2006):91-100. |
入库方式: iSwitch采集
来源:中国科学院大学
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。