| Robotic velocity generation using neural network |
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| 作者姓名： | 叶凌云 熊蓉 |
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| 作者单位： | National Lab of Industrial Control Technology，Zhejiang University，Hangzhou 310027，China |
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| 摘 要： | 0 ＩＮＴＲＯＤＵＣＴＩＯＮＴｈｅｍｉｒｏｓｏｔｒｏｂｏｔｌｅａｇｕｅｓｅｔｕｐｉｓｖｉｅｗｅｄａｓａｎｏｖｅｒａｌｌｃｏｍｐｌｅｔｅａｕｔｏｎｏｍｏｕｓｆｒａｍｅｗｏｒｋｃｏｍｐｏｓｅｄｏｆｔｈｅｐｈｙｓｉｃａｌｎａｖｉｇａｔｉｏｎａｌｒｏｂｏｔｉｃａｇｅｎｔｓ,ａｖｉｄｅｏｃａｍｅｒａｏｖｅｒ ｌｏｏｋｉｎｇｔｈｅｐｌａｙｉｎｇｆｉｅｌｄｃｏｎｎｅｃｔｅｄｔｏａｃｅｎｔｒａｌｉｚｅｄｉｎｔｅｒｆａｃｅｃｏｍｐｕｔｅｒ,ａｎｄｔｈｒｅｅｃｌｉｅｎｔｓａｓｔｈｅｍｉｎｄｓｏｆｔｈｅｓｍａｌｌ ｓｉｚ…
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Robotic velocity generation using neural network |
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| YE Ling-yun,XIONG Rong.Robotic velocity generation using neural network[J].Journal of Harbin Institute of Technology,2001,8(3). |
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| Authors: | YE Ling-yun XIONG Rong |
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| Abstract: | The fast paced nature of robotic soccer necessitates real time sensing coupled with quick decision making and behaving. The robot must have high response rate, exact motion ability, and must robust enough to confront interfere during drastic match. But during the match, we find that the robot usually do not act exactly as the commands from host computer. In this paper, we analyze the reason and present a method that uses BP neural network to output robotic velocity directly instead of conventional path plan strategy, to reduce the error between actual motion and ideal plan. |
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| Keywords: | robotic soccer path strategy neural network |
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