A modified artificial potential field algorithm for mobile robot path planning
A modified APF (artificial potential field) based method is proposed for mobile robot path planning. To address the local minima problem in the classical APF, a method composed of robot regression and potential field filling is proposed. Furthermore, by adjusting potential field in the environment d...
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creator | Ningning Qi Bojun Ma Xian'en Liu Zhenxin Zhang Dongchun Ren |
description | A modified APF (artificial potential field) based method is proposed for mobile robot path planning. To address the local minima problem in the classical APF, a method composed of robot regression and potential field filling is proposed. Furthermore, by adjusting potential field in the environment dynamically, the collision problem is also well settled. Simulation experiments, in which eight sonar transmitters are supposed to be used for environment measurement, are carried out to verify the performance of the path planning method proposed in the paper. The simulation results show that the modified APF has a better performance than the classical APF in an unknown environment. |
doi_str_mv | 10.1109/WCICA.2008.4593333 |
format | Conference Proceeding |
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To address the local minima problem in the classical APF, a method composed of robot regression and potential field filling is proposed. Furthermore, by adjusting potential field in the environment dynamically, the collision problem is also well settled. Simulation experiments, in which eight sonar transmitters are supposed to be used for environment measurement, are carried out to verify the performance of the path planning method proposed in the paper. 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The simulation results show that the modified APF has a better performance than the classical APF in an unknown environment.</description><subject>Artificial neural networks</subject><subject>Automation</subject><subject>Collision avoidance</subject><subject>mobile robot</subject><subject>Mobile robots</subject><subject>Path planning</subject><subject>potential field</subject><subject>Real time systems</subject><subject>Robots</subject><isbn>1424421136</isbn><isbn>9781424421138</isbn><isbn>1424421144</isbn><isbn>9781424421145</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFUMtKQzEUjEhBW_sDuskP3JrHyWtZLmqFohvFZcm9SdrIfZGbjX9vigVnc2aYM4fDIHRPyYZSYh6_6td6u2GE6A0Iwwuu0JICA2CUAlz_Cy4XaHleNIRIRW7Qep6_SQEILo28RW9b3I8uhugdtikX0kbb4WnMfshnVpyuWN1xTDGfehzGVBJN7DxOYzNmPNl8wlNnhyEOxzu0CLab_foyV-jz-emj3lX795fy876KlIhcgZJaSWGYAAuOG60tMzp40hrrA9NKGwecKtdQ07a0EcCJciqYVpUkaL5CD393o_f-MKXY2_RzuJTBfwFkP1Bc</recordid><startdate>200806</startdate><enddate>200806</enddate><creator>Ningning Qi</creator><creator>Bojun Ma</creator><creator>Xian'en Liu</creator><creator>Zhenxin Zhang</creator><creator>Dongchun Ren</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200806</creationdate><title>A modified artificial potential field algorithm for mobile robot path planning</title><author>Ningning Qi ; Bojun Ma ; Xian'en Liu ; Zhenxin Zhang ; Dongchun Ren</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i105t-47687659254a4d3988a298fe0c9aef28789d4317db19cc1b54307d7f9c7768483</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>chi ; eng</language><creationdate>2008</creationdate><topic>Artificial neural networks</topic><topic>Automation</topic><topic>Collision avoidance</topic><topic>mobile robot</topic><topic>Mobile robots</topic><topic>Path planning</topic><topic>potential field</topic><topic>Real time systems</topic><topic>Robots</topic><toplevel>online_resources</toplevel><creatorcontrib>Ningning Qi</creatorcontrib><creatorcontrib>Bojun Ma</creatorcontrib><creatorcontrib>Xian'en Liu</creatorcontrib><creatorcontrib>Zhenxin Zhang</creatorcontrib><creatorcontrib>Dongchun Ren</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ningning Qi</au><au>Bojun Ma</au><au>Xian'en Liu</au><au>Zhenxin Zhang</au><au>Dongchun Ren</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A modified artificial potential field algorithm for mobile robot path planning</atitle><btitle>2008 7th World Congress on Intelligent Control and Automation</btitle><stitle>WCICA</stitle><date>2008-06</date><risdate>2008</risdate><spage>2603</spage><epage>2607</epage><pages>2603-2607</pages><isbn>1424421136</isbn><isbn>9781424421138</isbn><eisbn>1424421144</eisbn><eisbn>9781424421145</eisbn><abstract>A modified APF (artificial potential field) based method is proposed for mobile robot path planning. To address the local minima problem in the classical APF, a method composed of robot regression and potential field filling is proposed. Furthermore, by adjusting potential field in the environment dynamically, the collision problem is also well settled. Simulation experiments, in which eight sonar transmitters are supposed to be used for environment measurement, are carried out to verify the performance of the path planning method proposed in the paper. The simulation results show that the modified APF has a better performance than the classical APF in an unknown environment.</abstract><pub>IEEE</pub><doi>10.1109/WCICA.2008.4593333</doi><tpages>5</tpages></addata></record> |
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language | chi ; eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Artificial neural networks Automation Collision avoidance mobile robot Mobile robots Path planning potential field Real time systems Robots |
title | A modified artificial potential field algorithm for mobile robot path planning |
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