{"title":"[ICMRE 2022 Copyright notice]","authors":"","doi":"10.1109/icmre54455.2022.9734090","DOIUrl":"https://doi.org/10.1109/icmre54455.2022.9734090","url":null,"abstract":"","PeriodicalId":419108,"journal":{"name":"2022 8th International Conference on Mechatronics and Robotics Engineering (ICMRE)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123235011","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}
Hussein M. Fawzy, Hisham M. El-Sherif, Gerd Baumann
{"title":"A Framework for Robotic Path Planning Based on Enhanced Fluid Potential Dynamical Models","authors":"Hussein M. Fawzy, Hisham M. El-Sherif, Gerd Baumann","doi":"10.1109/ICMRE54455.2022.9734096","DOIUrl":"https://doi.org/10.1109/ICMRE54455.2022.9734096","url":null,"abstract":"Path planning is one of the main sectors of robotics that deals with path calculations from a starting point to a goal in a defined field. Physical algorithms that rely on artificial potential fields and fluid fields have been developed to solve the path planning task. The main problem for the former is the creation of local minima in the field which requires extra algorithms to solve with increased path cost and added inefficiencies, while for the latter, the problem is the computational cost. This paper proposes an enhanced computational-physical path planning algorithm based on fluid stream equations and mechanics – named the Stream Field Navigation (SFN) – with modifications on how the residuals are calculated to improve the computational efficiency by introducing the Directional Residuals. SFN also introduces the Stream Reversal approach to represent a navigation field with no local minima. A comparison between the SFN algorithm and the Artificial Potential Field method is carried out to show the fundamental differences between the two methods and the results include empirical comparisons between the execution times of multiple algorithms which show that the SFN algorithm is at least 75% faster than PRM while A* is the fastest approach.","PeriodicalId":419108,"journal":{"name":"2022 8th International Conference on Mechatronics and Robotics Engineering (ICMRE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127665767","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}
{"title":"A Web-based Mixed Reality Interface Facilitating Explicit Agent-oriented Interactions for Human-Robot Collaboration","authors":"Joe David, E. Järvenpää, A. Lobov","doi":"10.1109/ICMRE54455.2022.9734094","DOIUrl":"https://doi.org/10.1109/ICMRE54455.2022.9734094","url":null,"abstract":"Communicating and recognizing intent is a crucial part of human-robot collaboration (HRC). It prevents competing and turn-taking behaviour that would otherwise lead to inefficient and unsafe collaborative activities. This study presents a novel approach towards enabling standards-based explicit bidirectional intent communication. The approach entails projecting a tailored web-based user interface upon the worktable shared between a human and robot agent. The interface has a close integration with an agent framework (JADE) that allows intent communication via mechanisms standardized by the IEEE Computer Society. The interaction model is discussed for its rationale and the possibilities it exposes as future work.","PeriodicalId":419108,"journal":{"name":"2022 8th International Conference on Mechatronics and Robotics Engineering (ICMRE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129020234","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}
{"title":"Prediction method of 5G high-load cellular based on BP neural network","authors":"Beibei Zhao, Tairan Wu, Fang Fang, Lin Wang, Wenzhang Ren, Xue-bin Yang, Zhangjing Ruan, Xuejin Kou","doi":"10.1109/ICMRE54455.2022.9734086","DOIUrl":"https://doi.org/10.1109/ICMRE54455.2022.9734086","url":null,"abstract":"This paper used Back Propagation (BP) Neural Network algorithm to evaluate the network capacity of the 5G cellular, which was based on the daily network traffic of the it. Then the plan can solve the problem of limited 5G capacity in advance, reduce network delay, ensure the network performance and improve users’ perception. We firstly analyze the correlation of KPI indicators that involved in 5G high load cellular to determine strong correlation indicators. Then the BP Neural Network is used to train the KPI sample data and output the simulation results. Finally, according to the result, the cellular network capacity will be evaluated by the result which will also determine whether the cellular has risk of high load.","PeriodicalId":419108,"journal":{"name":"2022 8th International Conference on Mechatronics and Robotics Engineering (ICMRE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129312169","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}
{"title":"Research on Brake Thermal Simulation Technology Based on Heat Flux Theory","authors":"Peiyu Wang, Haiyan Shen, Ruijun Dou, Qu Ye, Miao Yu, Qingjie Xu","doi":"10.1109/ICMRE54455.2022.9734111","DOIUrl":"https://doi.org/10.1109/ICMRE54455.2022.9734111","url":null,"abstract":"Based on the heat flux theory, the thermal simulation mathematical model of the braking system is established. By inputting the braking system parameters and some vehicle parameters into the model, the thermal simulation calculation of the braking system based on AMS operating conditions can be performed, and the temperature change curve of the entire braking process can be obtained. Comparing the simulation results with the real vehicle test results, the simulation accuracy of the final temperature under AMS operating conditions can reach to 90%. This technology, independent of finite element and CFD methods, can support the thermal degradation performance check in the early stage of brake selection to avoid design changes caused by the failure of the thermal degradation performance design. This simulation technology helps to cut clown development cycle and save development costs.","PeriodicalId":419108,"journal":{"name":"2022 8th International Conference on Mechatronics and Robotics Engineering (ICMRE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124967729","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}