V. M. Kumar, R. Balamurugan, S. Krishnan, S. D. Kumar, Priyesh Kumar
{"title":"Design and implementation robots for industrial and medical applications","authors":"V. M. Kumar, R. Balamurugan, S. Krishnan, S. D. Kumar, Priyesh Kumar","doi":"10.1109/ICCTET.2013.6675982","DOIUrl":null,"url":null,"abstract":"Path Finding Robot or BEAM (Biological Electronic Aesthetic Mechanical) robot is an obstacle sensing robot, an application of embedded systems that changes its direction of motion when it senses the presence of obstacle in its path. It also acts as an Automatic Guided Vehicle (industrial applications) to handle materials. The obstacle is sensed by means of an infra red sensor placed in front end of the robot. When the obstacle is sensed the stepper motor changes the direction of motion of the robot as per the program embedded in it. The path is pre programmed as we know where we use the robot, the change in direction of motion when the obstacle is sensed can also be preprogrammed. We used ATMEL microcontroller (ATMEL 89c51) for controlling the robot. A servo motor is used for the motion of the robot. [1][2][3]The speed of robot's movement can be adjusted by using an appropriate gear set. The robot can be used to transport materials in hazardous environment where it is difficult for human beings to carry that operation. This can be modified slightly and it can be used as a vehicle for aiding blind people. Technology is revolutionizing the medical field with the creation of robotic devices and complex imaging. Though these developments have made operations much less invasive, robotic systems have their own disadvantages that prevent them from replacing surgeons. Robotic surgery can be further divided into three subcategories depending on the degree of surgeon interaction during the procedure, supervisory-controlled, telesurgical, and shared-control.","PeriodicalId":242568,"journal":{"name":"2013 International Conference on Current Trends in Engineering and Technology (ICCTET)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Current Trends in Engineering and Technology (ICCTET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCTET.2013.6675982","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Path Finding Robot or BEAM (Biological Electronic Aesthetic Mechanical) robot is an obstacle sensing robot, an application of embedded systems that changes its direction of motion when it senses the presence of obstacle in its path. It also acts as an Automatic Guided Vehicle (industrial applications) to handle materials. The obstacle is sensed by means of an infra red sensor placed in front end of the robot. When the obstacle is sensed the stepper motor changes the direction of motion of the robot as per the program embedded in it. The path is pre programmed as we know where we use the robot, the change in direction of motion when the obstacle is sensed can also be preprogrammed. We used ATMEL microcontroller (ATMEL 89c51) for controlling the robot. A servo motor is used for the motion of the robot. [1][2][3]The speed of robot's movement can be adjusted by using an appropriate gear set. The robot can be used to transport materials in hazardous environment where it is difficult for human beings to carry that operation. This can be modified slightly and it can be used as a vehicle for aiding blind people. Technology is revolutionizing the medical field with the creation of robotic devices and complex imaging. Though these developments have made operations much less invasive, robotic systems have their own disadvantages that prevent them from replacing surgeons. Robotic surgery can be further divided into three subcategories depending on the degree of surgeon interaction during the procedure, supervisory-controlled, telesurgical, and shared-control.