2023 International Conference on Robotics and Automation in Industry (ICRAI)最新文献_第6页

A Cost-Effective Smart Labor Assistance Trolley for Industrial Applications 一个具有成本效益的智能劳动辅助小车工业应用

2023 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2023-03-03 DOI: 10.1109/ICRAI57502.2023.10089584

Muneeb Zafar, Sarmad Shafique, F. Riaz, Samia Abid, Umar Raza, W. Holderbaum

{"title":"A Cost-Effective Smart Labor Assistance Trolley for Industrial Applications","authors":"Muneeb Zafar, Sarmad Shafique, F. Riaz, Samia Abid, Umar Raza, W. Holderbaum","doi":"10.1109/ICRAI57502.2023.10089584","DOIUrl":"https://doi.org/10.1109/ICRAI57502.2023.10089584","url":null,"abstract":"In the last couple of decades, autonomous human assistance robots have been enormously attracting the industrial sector. For this purpose, numerous researchers have contributed towards designing efficient and robust human assistance mechanisms. However, their proposed approaches do not provide a cost-effective solution due to the deployment of exorbitant sensors and sophisticated infrastructure. Besides, it was quite challenging for existing human-following robots to track their assigned human companion in different illusional states and luminous conditions while detecting obstacles and taking respective maneuvers (i.e., abrupt turns, etc.). Moreover, self-driving solutions need to take fast and real-time actions to avoid collisions in the designated environment. For this purpose, literature has shown the efficiency of YOLOv3 with respect to providing real-time results in latency-sensitive applications. Hence, to overcome this dilemma, we propose to develop an economically efficient deep learning- based smart labor assistance trolley that uses the YOLO v3 as a core detective deep learning technique with advance and efficient perception and motion planning modules. The perception module succours the autonomous trolley to precisely detect and classify the objects. While the motion planning module uses the specific intended target detection technique to follow the targeted person in crowded environment. These techniques make the autonomous trolley able to take expeditious, meticulous, and conspicuous action in real-time. The labor assistant robot detects and tracks the respective person using YOLOv3. To validate the efficiency of the proposed solution, we have performed a series of experiments considering different test cases. Our proposed work achieved a mean average precision of 0.81%.","PeriodicalId":447565,"journal":{"name":"2023 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123628314","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

Overall Survial Prediction from Brain MRI in Glioblastoma 脑MRI预测胶质母细胞瘤患者的总体生存期

2023 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2023-03-03 DOI: 10.1109/ICRAI57502.2023.10089587

Sobia Yousaf, Nimra Ibrar, Muhammad Majid, S. Anwar

{"title":"Overall Survial Prediction from Brain MRI in Glioblastoma","authors":"Sobia Yousaf, Nimra Ibrar, Muhammad Majid, S. Anwar","doi":"10.1109/ICRAI57502.2023.10089587","DOIUrl":"https://doi.org/10.1109/ICRAI57502.2023.10089587","url":null,"abstract":"Tumor segmentation using radiological images, particularly in the brain region, is a challenging task due to the heterogeneous nature of the tissue representing the brain lesions. In computerized diagnostic systems, this method is an essential step in isolating tumor regions for visualization and examination. Recently, deep learning (DL) technology has resulted in major breakthroughs in computer vision and artificial intelligence. This has impacted clinical tasks such as brain tumor segmentation, where deep learning allows learning hierarchical and distinctive characteristics from radiographs. A major paradigm shift has evolved, when compared with traditional machine learning approaches, where pathological and healthy tissue can be differentiated without relying on extracting features that required a significant expertise. Herein, with our proposed method, we aim to help radiologists in assisting them to detect tumor regions and further predict the overall patient survival rate using magnetic resonance images effectively. Towards this, we use U-Net based architecture to perform the segmentation. We achieve acceptable segmentation accuracy, 82% and 75% on training and validation datasets, respectively. We further used our segmentation results for survival predication task. We computed and selected 16 most significant 3D and 2D radiomic features from the segmented regions. By combining age with radiomics features, we trained Convolutional Neural Network (CNN) model and five different machine learning (ML) models and achieved 65.57% and 63% accuracy in survival rate prediction when using CNN and support vector machine (SVM) classification model.","PeriodicalId":447565,"journal":{"name":"2023 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126969127","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

Applications of Hybrid Conditional Planning in Service Robotics 混合条件规划在服务机器人中的应用

2023 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2023-03-03 DOI: 10.1109/ICRAI57502.2023.10089569

Ahmed Nouman, M. Saleem

引用次数: 0

Design and Analysis of Throwable Unmanned Ground Vehicle 抛掷式无人地面飞行器的设计与分析

2023 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2023-03-03 DOI: 10.1109/ICRAI57502.2023.10089612

Hamza Sohail, Amir Hamza, N. Rashid, Muhammad Saad Ali, T. Ghani

引用次数: 0

Collaborative Path Planning Algorithm for Multiple AGVs 多agv协同路径规划算法

2023 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2023-03-03 DOI: 10.1109/ICRAI57502.2023.10089588

Yiming Chen, Mingxin Yuan, M. Cong, Dong Liu

引用次数: 0

Odometry and Inertial Sensor-based Localization of a Snake Robot 基于里程计和惯性传感器的蛇形机器人定位

2023 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2023-03-03 DOI: 10.1109/ICRAI57502.2023.10089598

Ramsha Shahid, Anam Baloch, Humayun Tahir, A. Ullah

引用次数: 1

Formation Control and Sub-Swarm Generation of Multirotor UAVs 多旋翼无人机的编队控制与子群生成

2023 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2023-03-03 DOI: 10.1109/ICRAI57502.2023.10089546

M. M. Shahzad, Muhammad Haroon Asad, Muhammad Haris, Hammad Munawar, M. Yousaf

{"title":"Formation Control and Sub-Swarm Generation of Multirotor UAVs","authors":"M. M. Shahzad, Muhammad Haroon Asad, Muhammad Haris, Hammad Munawar, M. Yousaf","doi":"10.1109/ICRAI57502.2023.10089546","DOIUrl":"https://doi.org/10.1109/ICRAI57502.2023.10089546","url":null,"abstract":"The research field of collective behaviors takes inspiration from natural self-organizing systems like honeybees, fish schools, social insects, bird flocks, and other social animals. These behaviors can be transformed into robots by replicating the same set of rules as found in the natural swarms. The deployment of aerial swarm robotics has become significant due to their multiple applications in surveillance, agriculture, and military. These applications lead to the development of aerial swarm robotic platforms to solve real-world problems. For example, a swarm of low-tech, cost-effective small UAVs can engage a high-tech target effectively. Similarly, a swarm of UAVs can perform surveillance and rescue missions in disastrous areas and build an emergency communication network through multiple UAV swarms. The critical part of swarm technology is multiple swarm intelligence algorithms that have been proposed and tested by various simulation platforms such as V-rep, Gazebo and MATLAB. Very few of them have been deployed on hardware to solve real scenarios that include formation control, navigation, pattern formation, and a few sub-swarm generation algorithms. Team connectivity is one of the essential aspects of a swarm network that emerges the collective intelligence of the group and ensures the readiness of the algorithm to deploy and solve real-world problems. Many researchers proposed the team connectivity algorithms in a single swarm network but still left the connectivity gap between the sub-swarms during a mission. This research work contributes toward designing a swarm intelligence algorithm to improve the connectivity techniques and team connectivity between the swarm agents and the sub-swarm groups.","PeriodicalId":447565,"journal":{"name":"2023 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125365202","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

Tele-Operated Robotic Manipulator based Contactless Heartbeat Measurement Mechanism 基于非接触式遥操作机器人的心跳测量机构

2023 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2023-03-03 DOI: 10.1109/ICRAI57502.2023.10089533

A. Ali, Syed Murtaza Hassan Kazmi, R. Uddin

{"title":"Tele-Operated Robotic Manipulator based Contactless Heartbeat Measurement Mechanism","authors":"A. Ali, Syed Murtaza Hassan Kazmi, R. Uddin","doi":"10.1109/ICRAI57502.2023.10089533","DOIUrl":"https://doi.org/10.1109/ICRAI57502.2023.10089533","url":null,"abstract":"Use of tele-operated robotic manipulators for performing various medical tasks have become significant due to concerns regarding the spread of contagious diseases. The area that we have specifically targeted in this paper is the frequently taken heartbeat measurements. The key to accurately measuring patient's heartbeat using a robotic manipulator is adjusting the stethoscope by exerting correct amount of force through the end-effector. In this paper, we have designed a setup using a 6-Degree of Freedom (DOF) tele-operated robotic arm coupled with a force sensor, buzzer and a stethoscope. The idea is that the robot embedded with force sensor will palpate the patient for heartbeat reading and that force signal will generate sound feedback for the doctor operating at master site. Signal from the force sensor helps to achieve appropriate exertion force and adjustment of stethoscope on patient's body so as to get accurate heartbeat waveform on doctor's mobile phone. For this, manual experiments are performed to establish baseline force range. Experiments are also performed using both pendant and haptic device at master end. As a result, Force-Time graph are obtained in all experimental configurations while the heartbeat is monitored using stethoscope's mobile application. Thus, a contactless heartbeat measurement is achieved. Results from the setup shows the validity of the proposed procedure.","PeriodicalId":447565,"journal":{"name":"2023 International Conference on Robotics and Automation in Industry (ICRAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129374301","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

Application of Remote Wireless Control Technology Based on LoRa System in Intelligent Agricultural Machine 基于LoRa系统的远程无线控制技术在智能农机中的应用

2023 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2023-03-03 DOI: 10.1109/ICRAI57502.2023.10089601

Jiang Ru, Zhang Dong, Zhang Guangyuan, Guan Zhiguang, Wang Xuelin, Shahzad Anwar

引用次数: 0

Real-Time Plant Recognition and Crop Row Navigation for Autonomous Precision Agricultural Sprayer Robot 自主精准农业喷洒机器人的实时植物识别与作物行导航

2023 International Conference on Robotics and Automation in Industry (ICRAI) Pub Date : 2023-03-03 DOI: 10.1109/ICRAI57502.2023.10089591

Fazal Nasir, Muhammad Haris, Bilawal Khan, Muhammad Tufail, Muhammad Tahir Khan, Zhang Dong

引用次数: 0