A Motion Generation Method for Articulated Manipulators Using Linear Mapping Matrices Calculated by Neural Networks
A Motion Generation Method for Articulated Manipulators Using Linear Mapping Matrices Calculated by Neural Networks
复制标题
一种利用神经网络计算的线性映射矩阵的关节机械臂运动生成方法
DOI:
10.1109/case49439.2021.9551436
复制
发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Kimitoshi Yamazaki
中科院分区:
文献类型:
--
作者:
石田直輝,窪田智之,伊藤圭基,白松(磯口)知世,高橋宏知;Kimitoshi Yamazaki
In this paper, a method of motion generation for articulated manipulators is proposed. In this method, motion sequence is generated based on past motion experience. The rough procedure is as follows. Various reaching motions are performed by the manipulator in advance, and then, these experiences are stored by the manipulator as end-effector poses, joint angles, environment map, and so on. Then, the manipulator generates a new motion sequence by efficiently using the past experiences when a new target end-effector pose is given. The proposed method comprises two phases: similar experience search and motion modification. In the latter phase, a neural network is utilized to calculate the amount of modification movement. It ensures a certain level of trajectory reproducibility. The effectiveness of the proposed method is proven via simulation considering planar and 3D manipulators.
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影响因子:
8.3
作者:
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通讯作者:
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期刊:
2015 IEEE/SICE International Symposium on System Integration (SII)
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发表时间:
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期刊:
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影响因子:
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通讯作者:
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期刊:
IEEE/RJS International Conference on Intelligent RObots and Systems
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