Hill-climbing for a noisy potential field using information entropy
Hill-climbing for a noisy potential field using information entropy
复制标题
使用信息熵爬山求解噪声势场
DOI：
10.2478/s13230-011-0020-x
复制
发表时间：
2011
期刊：
影响因子：
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通讯作者：
D. Kurabayashi
中科院分区：
文献类型：
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作者：
Piljae Kim;Satoru Nakamura;D. Kurabayashi
For a robot navigation system used in an unpredictable environment, it is generally effective to create a pathway that robots can track for carrying out a given task, such as reaching a goal. In the biological world, ants construct a foraging path using a volatile substance called a pheromone, which has been widely studied and whose characteristics have been used in a transportation network model. When a navigation path is constructed by autonomous agents using this pheromone model, the created potential field can be very noisy, with many local peaks due to the unsynchronized updates of the field. In this paper, a new hill-climbing algorithm is proposed. The algorithm minimizes information entropy and can track dynamic and noisy potential fields. The proposed algorithm is evaluated through a computer simulation.
DOI：
10.1109/iros.2004.1389878
发表时间：
2004
期刊：
2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)
影响因子：
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作者：
K. Sugawara;T. Kazama;Toshinori Watanabe
通讯作者：
K. Sugawara;T. Kazama;Toshinori Watanabe
用于密度估计的内核数据压缩
DOI：
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发表时间：
2006
期刊：
影响因子：
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作者：
Atsuyuki;Kogure;Masahiko;Sagae
通讯作者：
Sagae