2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)最新文献_第2页

A Vision-Based Detection and Tracking Algorithm for a Child Monitoring Robot 一种基于视觉的儿童监控机器人检测与跟踪算法

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8936015

John Anthony C. Jose, Justine Veronica Basco, Jomar Kenneth Jolo, Patrick Kenneth Yambao, M. Cabatuan, A. Bandala, Jose Martin Z. Maningo, E. Dadios

{"title":"A Vision-Based Detection and Tracking Algorithm for a Child Monitoring Robot","authors":"John Anthony C. Jose, Justine Veronica Basco, Jomar Kenneth Jolo, Patrick Kenneth Yambao, M. Cabatuan, A. Bandala, Jose Martin Z. Maningo, E. Dadios","doi":"10.1109/ACIRS.2019.8936015","DOIUrl":"https://doi.org/10.1109/ACIRS.2019.8936015","url":null,"abstract":"Accidents have been found to be one of the leading causes of both fatal and non-fatal injuries to children. Though some accidents that occur are often unavoidable, more often than not these injuries can be prevented by giving the child proper attention. The researchers intend to address certain gaps in stationary monitoring solutions by adding abilities such as an insured way of continuously monitoring the test subject and a real time notification feature to a mobile spherical robot. This research presents the software division of a technological solution to child monitoring by developing a computer vision algorithm for following and monitoring children indoors utilizing an RGB-D camera. This algorithm will work hand in hand with a hardware design of a spherical robot that utilizes microcontrollers, RFID technology and GSM system. An Android application will also be created to provide the users the means of manually overriding the spherical robot, color calibration and location indicator as a part of the robot’s notification system. The detection and tracking ability of the algorithm is tested by using objects with varying characteristics. The autonomous navigation testing of the robot is performed at two controlled test setups: living room and child’s playroom.","PeriodicalId":338050,"journal":{"name":"2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115175113","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: 2

Integrating CPS into Socio-Technical Systems 将CPS整合到社会技术系统中

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8936007

J. Jost, T. Kirks

引用次数: 1

A pH Regulation System for Perfusion Machine Using Computer Vision and Fuzzy Logic 基于计算机视觉和模糊逻辑的灌注机pH调节系统

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8936033

Tristan Joseph C. Limchesing, R. Bedruz, R. R. Vicerra, John Anthony C. Jose, N. Bugtai

{"title":"A pH Regulation System for Perfusion Machine Using Computer Vision and Fuzzy Logic","authors":"Tristan Joseph C. Limchesing, R. Bedruz, R. R. Vicerra, John Anthony C. Jose, N. Bugtai","doi":"10.1109/ACIRS.2019.8936033","DOIUrl":"https://doi.org/10.1109/ACIRS.2019.8936033","url":null,"abstract":"As current liver perfusion machines use pH probes for monitoring the acidity level in their machine, it poses an increased risk of contamination due to the probes direct contact with the blood, which would then greatly increase the risk of transplant failure. In order to detect pH levels of blood in a liver perfusion machine with minimal contact, this study will use computer vision as a tool in detecting and the given ph. In order to determine the pH level of blood, multiple computer vision techniques with built in knowledge-based systems will be used in the study. The knowledge-based system will continue to improve overtime as more data is collected. In this study, perfusion liquid will be used as the medium for blood due to ethical concerns. The pH is regulated using fuzzy logic control from the data taken from the pH detection system. Through the data taken from the results, it shows that this system when compared to the traditional pH monitoring system is accurate and viable in determining the pH level of the blood. And the system is viable in regulating the pH level of the system effectively.","PeriodicalId":338050,"journal":{"name":"2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127780270","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

Kinematics and Dynamics Analysis of an Autonomous Three-wheeled Bicycle Modeling 自主三轮自行车建模的运动学与动力学分析

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8935966

Noverina Alfiany, Nur Hamid, G. Jati, M. A. Ma'sum, W. Jatmiko

引用次数: 2

Development of Tank-Based Military Robot and Object Tracker 坦克型军用机器人及目标跟踪器的研制

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8935962

W. Budiharto, Vincent Andreas, J. Suroso, A. A. Gunawan, E. Irwansyah

{"title":"Development of Tank-Based Military Robot and Object Tracker","authors":"W. Budiharto, Vincent Andreas, J. Suroso, A. A. Gunawan, E. Irwansyah","doi":"10.1109/ACIRS.2019.8935962","DOIUrl":"https://doi.org/10.1109/ACIRS.2019.8935962","url":null,"abstract":"Indonesia is a country whose economy is developing very fast. According to World Bank data, Indonesia is the country with the largest economic development in Southeast Asia. Unfortunately, the threat of terrorism in Indonesia is very large, therefore it requires a smart system such as military robots. Today’s vision-based robot technology has also been used in the development of autonomous military robots. A sophisticated military robot is a robot that is needed by the military/police because it can be deployed to the battlefield or the eradication of terrorism in a remote or autonomous manner. This system is needed to reduce the remaining casualties from the army, and this combat robot system can also be operated at any time with more numbers than regular soldiers and with minimal operator needs. In this paper, we propose a prototype of a tank-based military robot with object detection and tracking and turrets for simulation of shooting the enemy target based on the computer vision. The object tracker will detect an upper body of the target using a library in OpenCV and the tank will track until it reaches the best position to shoot the target. The methods explained, and experimental results were presented.","PeriodicalId":338050,"journal":{"name":"2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)","volume":"268 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133014217","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: 6

Ontology-Based Driving Scene Modeling, Situation Assessment and Decision Making for Autonomous Vehicles 基于本体的自动驾驶汽车驾驶场景建模、态势评估与决策

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8935984

Lu Huang, Huawei Liang, Biao Yu, Bichun Li, Hui Zhu

引用次数: 12

ACIRS 2019 Preface

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/acirs.2019.8936041

引用次数: 0

Segmentation-based Knowledge Extraction from Chest X-ray Images 基于分割的胸部x线图像知识提取

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8935951

A. Wibisono, J. Adibah, Faisal Satrio Priatmadji, Nabilah Zhafira Viderisa, Aisyah Husna, P. Mursanto

{"title":"Segmentation-based Knowledge Extraction from Chest X-ray Images","authors":"A. Wibisono, J. Adibah, Faisal Satrio Priatmadji, Nabilah Zhafira Viderisa, Aisyah Husna, P. Mursanto","doi":"10.1109/ACIRS.2019.8935951","DOIUrl":"https://doi.org/10.1109/ACIRS.2019.8935951","url":null,"abstract":"Computer-aided detection applications have been extensively used to assist physicians in clinical diagnoses. Extracted information from X-ray, positron emission tomography, and magnetic resonance images enables radiologists and other physicians to identify pathologies, correlate findings with the symptoms, and determine the treatment steps. In this study, we proposed an automatic knowledge extraction methodology from chest X-ray images. The extracted knowledge is obtained from the segmented sections of the images that include pathological findings. We evaluated these segmented images with a) classical machine learning and b) pretrained convolutional neural network (CNN) models. Evaluations were based on areas under the receiver operating characteristic (AUROC) with segmented images using the pretrained CNN and the traditional method models, and they produced the average AUROC scores of 0.96 and 0.52, respectively. Traditional methods yielded lower AUROC scores compared with pretrained CNN methods. However, traditional methods may still be considered as appropriate solutions for disease diagnoses primarily based on their advantages regarding running time and flexibility.","PeriodicalId":338050,"journal":{"name":"2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121916396","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: 6

Multi-codebook Fuzzy Neural Network Using Incremental Learning for Multimodal Data Classification 基于增量学习的多码本模糊神经网络多模态数据分类

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8935971

M. A. Ma'sum, W. Jatmiko

引用次数: 1

Development of a Finger Soft Pneumatic Bending Actuator 手指柔性气动弯曲执行器的研制

2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Pub Date : 2019-07-01 DOI: 10.1109/ACIRS.2019.8935969

Mark Joseph B. Enojas, M. C. Ramos

{"title":"Development of a Finger Soft Pneumatic Bending Actuator","authors":"Mark Joseph B. Enojas, M. C. Ramos","doi":"10.1109/ACIRS.2019.8935969","DOIUrl":"https://doi.org/10.1109/ACIRS.2019.8935969","url":null,"abstract":"A growing research and development of soft manipulators that are able to mimic movements of human hand for prostheses and rehabilitation is one of the main streams in advanced robotics technologies. Soft compliant materials are overtaking the role of hard materials for this cause. This paper presents a model of soft pneumatic bending actuator (sPBA) to mimic the movements of a finger. The sPBA developed is composed of air chambers connected together with a common channel that bends symmetrically, achieving the bending characteristics of a finger joint. Three actuators which act as joints are connected to form a finger. Finite element method (FEM) is used to simulate the pressure and bending characteristics of the model prior to fabrication. The materials used in the model are the hyper elastic silicon rubbers; Dragon Skin 10 Medium (DS10M) and Elastosil M4601 (EM4601). The kinematic model of the planar movement of the actuator is based on the assumption of a rigid multiple-link hyper redundant structure. The inverse kinematics is solved using sequential quadratic programming algorithm (SQPA) as an optimization function in a numerical computing environment software. The constraint equation used in solving the joint angles is the forward kinematics equation. The derived least square polynomial equations are used to estimate the pressure. The cost functions are defined to minimize displacement error. In addition, a prototype was developed to validate the movement of the designed finger. The results present an acceptable maximum displacement error at low pressure of 3.4%. The bending was successfully achieved having the same pose as that of the FEM simulation and is also able to grip an object.","PeriodicalId":338050,"journal":{"name":"2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)","volume":"518 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123113792","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: 1