H. Gokul, S. V. Kanna, H. Akshay Kumar, Vignesh Ravikumar
{"title":"Design of Imitative Control Modalities for a 3 Degree of Freedom Robotic Arm","authors":"H. Gokul, S. V. Kanna, H. Akshay Kumar, Vignesh Ravikumar","doi":"10.1109/ICCCSP49186.2020.9315273","DOIUrl":null,"url":null,"abstract":"This research article focuses on enabling real-time Human-Robot Interaction (HRI) with two input control modalities designed to control a robotic arm. The robotic arm comprises of 3 Degrees of Freedom (DOF) and is controlled using the following 2 strategies: Inertial Sensor-glove and Image-based visual servoing. The Mathematical model of the given 3 DOF robotic arm was derived and the two proposed methods were explicitly designed for the same. The inertial sensor-glove, worn by the user, is embedded with inertial sensors that provide data to track the motion of the user's arm. The Image-based visual servoing modality is a mono-vision based approach which tracks the motion of a target object held by the user using a camera and operates similar to a mouse-pointer but in 3 dimensions. Fitts’s Targeting tasks were performed to analyse the performance of these Human-Robot Interactive input modalities.","PeriodicalId":310458,"journal":{"name":"2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCSP49186.2020.9315273","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
This research article focuses on enabling real-time Human-Robot Interaction (HRI) with two input control modalities designed to control a robotic arm. The robotic arm comprises of 3 Degrees of Freedom (DOF) and is controlled using the following 2 strategies: Inertial Sensor-glove and Image-based visual servoing. The Mathematical model of the given 3 DOF robotic arm was derived and the two proposed methods were explicitly designed for the same. The inertial sensor-glove, worn by the user, is embedded with inertial sensors that provide data to track the motion of the user's arm. The Image-based visual servoing modality is a mono-vision based approach which tracks the motion of a target object held by the user using a camera and operates similar to a mouse-pointer but in 3 dimensions. Fitts’s Targeting tasks were performed to analyse the performance of these Human-Robot Interactive input modalities.