Formation control of multiple robots based on autonomous learning behavior of individual robots

碩士 === 國立中正大學 === 電機工程所 === 98 === The main purpose of this thesis is to develop a mechanism to complete the cooperation of formation for multiple robots and practice the simulation results of adaptive formation of multiple robots based on behavioral learning. The robots can find a proper position i...

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Main Authors: Cheng-Yan Tsai, 蔡承延
Other Authors: Kao-Shing Huang
Format: Others
Language:en_US
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/66344871233870159612
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spelling ndltd-TW-098CCU054420682015-10-13T18:25:32Z http://ndltd.ncl.edu.tw/handle/66344871233870159612 Formation control of multiple robots based on autonomous learning behavior of individual robots 具個別自主行為學習之群組機器人之隊型控制 Cheng-Yan Tsai 蔡承延 碩士 國立中正大學 電機工程所 98 The main purpose of this thesis is to develop a mechanism to complete the cooperation of formation for multiple robots and practice the simulation results of adaptive formation of multiple robots based on behavioral learning. The robots can find a proper position in the formation and achieve the target location without collisions with any robots by self-learning. With the computer process images from camera and construct the positioning system, each robot can get its location and orientation. By the fusion approach based on FBQL algorithm, each robot can make its own judgment and decision about how to move. In terms of hardware, the wireless system has RF transceiver modules on the bridges that receive command signals from the computer. There is a 16-bit microcontroller mounted on each robot. It helps control robot’s actions. In formation marching, once the target location and the specified formation are given, each robot has to make judgment on its current situation individually to keep the formation, and achieve the target location without collisions by self-learning. Kao-Shing Huang 黃國勝 2010 學位論文 ; thesis 55 en_US
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language en_US
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description 碩士 === 國立中正大學 === 電機工程所 === 98 === The main purpose of this thesis is to develop a mechanism to complete the cooperation of formation for multiple robots and practice the simulation results of adaptive formation of multiple robots based on behavioral learning. The robots can find a proper position in the formation and achieve the target location without collisions with any robots by self-learning. With the computer process images from camera and construct the positioning system, each robot can get its location and orientation. By the fusion approach based on FBQL algorithm, each robot can make its own judgment and decision about how to move. In terms of hardware, the wireless system has RF transceiver modules on the bridges that receive command signals from the computer. There is a 16-bit microcontroller mounted on each robot. It helps control robot’s actions. In formation marching, once the target location and the specified formation are given, each robot has to make judgment on its current situation individually to keep the formation, and achieve the target location without collisions by self-learning.
author2 Kao-Shing Huang
author_facet Kao-Shing Huang
Cheng-Yan Tsai
蔡承延
author Cheng-Yan Tsai
蔡承延
spellingShingle Cheng-Yan Tsai
蔡承延
Formation control of multiple robots based on autonomous learning behavior of individual robots
author_sort Cheng-Yan Tsai
title Formation control of multiple robots based on autonomous learning behavior of individual robots
title_short Formation control of multiple robots based on autonomous learning behavior of individual robots
title_full Formation control of multiple robots based on autonomous learning behavior of individual robots
title_fullStr Formation control of multiple robots based on autonomous learning behavior of individual robots
title_full_unstemmed Formation control of multiple robots based on autonomous learning behavior of individual robots
title_sort formation control of multiple robots based on autonomous learning behavior of individual robots
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/66344871233870159612
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