P. Devang, N. Gokul, M. Ranjana, S. Swaminathan, B. N. Binoy
{"title":"Autonomous arecanut tree climbing and pruning robot","authors":"P. Devang, N. Gokul, M. Ranjana, S. Swaminathan, B. N. Binoy","doi":"10.1109/INTERACT.2010.5706160","DOIUrl":null,"url":null,"abstract":"This paper presents the design and development of a versatile autonomous tree climbing & pruning robot for arecanut farming. The robot has a linear frictional force based non-linear self-regulatory system with 9 DOF that adapts itself to changing trunk diameter. The robot chassis is made rigid and light-weight. An on-board battery is the power source. The motion is provided by two DC motors fitted to spiked wheels. A 5 DOF PUMA arm is mounted on the robot for cutting and pruning purpose. The intelligence is based on Digital Image Processing using Object Recognition techniques. Machine vision is through a guiding camera mounted over the Robotic Arm that feeds the OMAP 32bit Micro-controller made of ARM CORTEX-M3 and Da Vinci processor which has Wavelet based JPEG compression and noise elimination module. A manual override with a display screen allows user to view and control the robot when necessary.","PeriodicalId":201931,"journal":{"name":"INTERACT-2010","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERACT-2010","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INTERACT.2010.5706160","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
This paper presents the design and development of a versatile autonomous tree climbing & pruning robot for arecanut farming. The robot has a linear frictional force based non-linear self-regulatory system with 9 DOF that adapts itself to changing trunk diameter. The robot chassis is made rigid and light-weight. An on-board battery is the power source. The motion is provided by two DC motors fitted to spiked wheels. A 5 DOF PUMA arm is mounted on the robot for cutting and pruning purpose. The intelligence is based on Digital Image Processing using Object Recognition techniques. Machine vision is through a guiding camera mounted over the Robotic Arm that feeds the OMAP 32bit Micro-controller made of ARM CORTEX-M3 and Da Vinci processor which has Wavelet based JPEG compression and noise elimination module. A manual override with a display screen allows user to view and control the robot when necessary.