{"title":"Literature Review and Simulation of Robot for Path Planning Obstacle Avoidance (RPPOA) Model in Homeland Environment","authors":"Nisha P. Zode, Tjprc","doi":"10.24247/ijcseitrdec20203","DOIUrl":null,"url":null,"abstract":"NISHA P. ZODE & DR. UJWAL A. LANJEWAR Student Department of ETC & Computer Science, RTMNU, Nagpur, India VMV Commerce JMT Arts &JJP Science College, Nagpur, India ABSTRACT This paper presents inclusive review of the researches published in obstacle finding and avoidance, and path planning for Self-directed Movable Robots. Methodologies, operational conditions, and boundaries of various approaches of obstacle avoidance and path planning have been argued. The comparison of the reviewed methodologies is also performed, and the rewards of a specific methodology over others are listed. Simulation of the obstacle detection and avoidance is for a self-directed movable robot using Arduino is illustrated.","PeriodicalId":185673,"journal":{"name":"International Journal of Computer Science Engineering and Information Technology Research","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Science Engineering and Information Technology Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24247/ijcseitrdec20203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
NISHA P. ZODE & DR. UJWAL A. LANJEWAR Student Department of ETC & Computer Science, RTMNU, Nagpur, India VMV Commerce JMT Arts &JJP Science College, Nagpur, India ABSTRACT This paper presents inclusive review of the researches published in obstacle finding and avoidance, and path planning for Self-directed Movable Robots. Methodologies, operational conditions, and boundaries of various approaches of obstacle avoidance and path planning have been argued. The comparison of the reviewed methodologies is also performed, and the rewards of a specific methodology over others are listed. Simulation of the obstacle detection and avoidance is for a self-directed movable robot using Arduino is illustrated.