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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Tarbiat Modares University</PublisherName>
				<JournalTitle>The Modares Journal of Electrical Engineering</JournalTitle>
				<Issn>2228-527X</Issn>
				<Volume>12</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2012</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Polynomial Optimal Trajectory Planning and Obstacle Aviodance for Omni-directional Mobile Robots in Dynamic Environments</ArticleTitle>
<VernacularTitle>برنامه‌ریزی مسیر زمان‌دار بهینه‌ی چندجمله‌ای و دوری از موانع برای ربات‌های متحرک چند‌جهته در محیط‌های دینامیکی</VernacularTitle>
			<FirstPage>13</FirstPage>
			<LastPage>19</LastPage>
			<ELocationID EIdType="pii">12919</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Tohfeh</LastName>
<Affiliation>M.Sc. of Control Engineering, Department of Electrical, Biomedical and Mechatronics Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran,</Affiliation>

</Author>
<Author>
					<FirstName>Ahmad</FirstName>
					<LastName>Fakharian</LastName>
<Affiliation>Assistant Professor, Department of Electrical, Biomedical and Mechatronics Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran, Corresponding Author</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
		<Abstract>This paper presents a parameterization method to optimal trajectory planning and dynamic obstacle avoidance for Omni-directional robots. The aim of trajectory planning is minimizing a quadratic cost function while a maximum limitation on velocity and acceleration of robot is considered. First, we parameterize the trajectory using polynomial functions with unknown coefficients which transforms trajectory planning to an optimization problem. Then we use a novel method to solving the optimization problem and obtaining the unknown parameters. Finally, the efficiency of proposed approach is confirmed by simulation.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">obstacle avoidance</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Omni-directional robot</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">optimization problem</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">polynomial trajectory</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Trajectory Planning</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://mjee.modares.ac.ir/article_12919_44788404a9a7eee60c80ad849e3efb7b.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
