2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)最新文献_第3页

Recognition of human arm gestures using Myo armband for the game of hand cricket 识别人类的手臂手势使用Myo臂章的游戏手板球

2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2017-10-01 DOI: 10.1109/IRIS.2017.8250154

Karthik Sivarama Krishnan, A. Saha, Srinath Ramachandran, Shitij Kumar

{"title":"Recognition of human arm gestures using Myo armband for the game of hand cricket","authors":"Karthik Sivarama Krishnan, A. Saha, Srinath Ramachandran, Shitij Kumar","doi":"10.1109/IRIS.2017.8250154","DOIUrl":"https://doi.org/10.1109/IRIS.2017.8250154","url":null,"abstract":"Gesture Recognition is the most recent development in the field of Bio Robotics. The proposed paper focuses on presenting a low cost sensor based human gesture recognition for the game of Hand Cricket. Hand cricket is a popular game in south Asian countries which involves the use of human finger gestures to score. This game is generally played between two players. Each player has a pre-defined gestures for the scores one, two, three, four and six. Both the players are made to wear the Myo armband. Myo armband is used to capture the Bio-potentials triggered during every muscle action. The various gestures performed in this game triggers various muscle group signals. A data set is created by collecting the eight channel bio potentials for every gesture made by both the players. The obtained data set is pre-processed and feature extracted. Now the Machine Learning techniques are performed in the data set to classify all the five different gestures with maximum accuracy. Support Vector Machine (SVM) gave the maximum accuracy to the classify the data set of both the players. The efficiency obtained for both the players are 92% and 84%. The proposed system is made to train with the data set obtained by the two players and the game is played in real time with the help of two MATLAB in two computers. Along with the classification of data, the scores of the individual player is calculated and displayed. With the scores being displayed, we can determine the player who scored the highest and the winner of the game can be determined.","PeriodicalId":213724,"journal":{"name":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116864696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 26

Visual inspection system for smart manufacture of home appliances 家电智能制造视觉检测系统

2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2017-10-01 DOI: 10.1109/IRIS.2017.8250129

T. Liu, Haisong Gu, Dongyan Wang

引用次数: 0

FSI modeling of frog inspired soft robot embedded with ALD encapsulated flex sensor for underwater synchronous swim 嵌入ALD封装柔性传感器的蛙式水下同步游动软体机器人FSI建模

2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2017-10-01 DOI: 10.1109/IRIS.2017.8250131

J. Gul, K. Kim, J. Lim, Y. Doh, K. Choi

{"title":"FSI modeling of frog inspired soft robot embedded with ALD encapsulated flex sensor for underwater synchronous swim","authors":"J. Gul, K. Kim, J. Lim, Y. Doh, K. Choi","doi":"10.1109/IRIS.2017.8250131","DOIUrl":"https://doi.org/10.1109/IRIS.2017.8250131","url":null,"abstract":"The outstanding swim characteristics of the frog have inspired the development of artificial robotic swimmer, featuring synchronous swim capabilities, which could be of significant engineering interest in underwater applications. The Underwater synchronous swim is challenging because drag on the oars increases as the square of their speed. In frogs, as leg muscles shorten faster, the force capacity falls and drag force increases. In this paper, key features of frog's synchronous swim are reproduced by running 2D simulations which fully exploit the Fluid-Structure Interaction interface of COMSOL. Velocity, displacement, lift and drag forces in 2D space are studied. Unlike previous FSI underwater robotics studies in which much efforts are put on fluid dynamics, here muscles contraction is simulated by using the notion of pre-strain, emphasizing the kinematical role of muscle and the generation of movement. Based on these parameters, a soft frog robot embedded with shape memory alloy is fabricated using multilayer 3D printing technology. Flex Sensor encapsulated with Atomic Layer Deposition (ALD) is included in the limbs of soft frog robot to read the angle in real time. A proper synchronous movement of a frog-like body is reproduced by defining the pattern of muscles activation.","PeriodicalId":213724,"journal":{"name":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125412161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Intelligent sensing for robotic re-manufacturing in aerospace — An industry 4.0 design based prototype 航空航天中机器人再制造的智能传感。基于工业4.0设计的原型

2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2017-10-01 DOI: 10.1109/IRIS.2017.8250134

R. French, Michalis Benakis, H. Marin-Reyes

{"title":"Intelligent sensing for robotic re-manufacturing in aerospace — An industry 4.0 design based prototype","authors":"R. French, Michalis Benakis, H. Marin-Reyes","doi":"10.1109/IRIS.2017.8250134","DOIUrl":"https://doi.org/10.1109/IRIS.2017.8250134","url":null,"abstract":"Emerging through an industry-academia collaboration between the University of Sheffield and VBC Instrument Engineering Ltd, a proposed robotic solution for remanufacturing of jet engine compressor blades is under ongoing development, producing the first tangible results for evaluation. Having successfully overcome concept adaptation, funding mechanisms, design processes, with research and development trials, the stage of concept optimization and end-user application has commenced. A variety of new challenges is emerging, with multiple parameters requiring control and intelligence. An interlinked collaboration between operational controllers, Quality Assurance (QA) and Quality Control (QC) systems, databases, safety and monitoring systems, is creating a complex network, transforming the traditional manual re-manufacturing method to an advanced intelligent modern smart-factory. Incorporating machine vision systems for characterization, inspection and fault detection, alongside advanced real-time sensor data acquisition for monitoring and evaluating the welding process, a huge amount of valuable industrial data is produced. Information regarding each individual blade is combined with data acquired from the system, embedding data analytics and the concept of “Internet of Things” (IoT) into the aerospace re-manufacturing industry. The aim of this paper is to give a first insight into the challenges of the development of an Industry 4.0 prototype system and an evaluation of first results of the operational prototype.","PeriodicalId":213724,"journal":{"name":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134555291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 24

Monocular vision-based motion capture system: A performance model 基于单目视觉的动作捕捉系统:一种性能模型

2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2017-10-01 DOI: 10.1109/IRIS.2017.8250120

Mustafa A. Ghazi, David P. Miller

引用次数: 1

Feasibility of care robots for children with special needs: A review 特殊需要儿童护理机器人的可行性综述

2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2017-10-01 DOI: 10.1109/IRIS.2017.8250152

Rugayah Hashim, H. Yussof

引用次数: 2

A decision making model for ethical (ro)bots 伦理机器人的决策模型

2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2017-10-01 DOI: 10.1109/IRIS.2017.8250122

F. Alaieri, André Vellino

引用次数: 4

Implementation and control for an MDOF cable-suspended parallel robot 多自由度悬索并联机器人的实现与控制

2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2017-10-01 DOI: 10.1109/IRIS.2017.8250145

Jonqlan Lin, C. Y. Wu, Julian Chang

{"title":"Implementation and control for an MDOF cable-suspended parallel robot","authors":"Jonqlan Lin, C. Y. Wu, Julian Chang","doi":"10.1109/IRIS.2017.8250145","DOIUrl":"https://doi.org/10.1109/IRIS.2017.8250145","url":null,"abstract":"In this work, a multi-degrees-of-freedom (MDOF) cable-suspended robot that can perform pick-up-and-place tasks in large workspaces with weighty loads is designed. The proposed cable-suspended parallel robot comprises a rigid frame and an end-effector that is suspended from eight cables — four upper cables and four lower cables. The lengths of the cables are computed from the given positions of the suspended end-effector using a kinematic model. However, most multicable-driven robots struggle with interference among the cables, requiring a complicated control methodology to find a target goal. Owing to this issue with cable-driven parallel robots, the whole control structure decomposes positioning control missions and allocates them into upper- and lower- level. The upper-control is responsible for tracking the suspended endeffector to the target region. The lower-level control makes fine positional modifications. Experimental results demonstrate that the hybrid control mode significantly improves positioning performance. The broad variety of issues that are presented in this work apply to aerostats, towing cranes, locomotion interfaces, and large-scale manufacturing that require cable- suspended parallel robots.","PeriodicalId":213724,"journal":{"name":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132518169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Wheel-rail contact analysis system using spectral signatures for train automation and traffic management 用于列车自动化和交通管理的频谱信号轮轨接触分析系统

2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2017-10-01 DOI: 10.1109/IRIS.2017.8250146

B. Stanciulescu, Romain Ceolato Onera, C. Nicodeme, Saïd el Fassi

引用次数: 1

Architecture for incorporating Internet-of-Things sensors and actuators into robot task planning in dynamic environments 将物联网传感器和执行器纳入动态环境下机器人任务规划的体系结构

2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2017-10-01 DOI: 10.1109/IRIS.2017.8250091

Helen Harman, Keshav Chintamani, P. Simoens

引用次数: 4