{"title":"Temperature difference measurement with using two RTD sensors as example of evaluating uncertainty of a vector output quantity","authors":"A. Idzkowski, Z. Warsza","doi":"10.21595/rsa.2021.22143","DOIUrl":"https://doi.org/10.21595/rsa.2021.22143","url":null,"abstract":". The evaluation of results in the case of indirect multi-parameter measurements is presented. A theoretical basis for determining the estimates of values, the uncertainties and the correlation coefficients of indirectly obtained multi-measurand is explained in detail. The example of a difference and an average of two-temperature indirect measurement is given with the use of two RTDs. Such sensors are used in the laboratory and industrial temperature control systems. The uncertainty of measurements depends on the errors of two RTDs and the structure of signal conditioning circuit.","PeriodicalId":349478,"journal":{"name":"Robotic Systems and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131329982","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":"Convolutional mask-wearing recognition algorithm for an interactive smart biometric platform","authors":"P. Balazy, P. Gut, P. Knap","doi":"10.21595/rsa.2021.22108","DOIUrl":"https://doi.org/10.21595/rsa.2021.22108","url":null,"abstract":"This paper presents the results of a neural convolutional system for recognizing the wearing of a mask by people entering a building. The algorithm is provided with input data thanks to cameras placed in the humanoid robot COVIDguard. The data collected by the humanoid – the temperature of people entering the facility, the location of the person, the way the protective mask was applied – are stored in the cloud, which enables the application of advanced image recognition algorithms and, consequently, the tracking of people within the range of the robot’s sensory systems by the administrator and the verification of the security level in the given premises. The paper presents the architecture of the intelligent COVIDguard platform, the structure of the sensory system and the results of the neural network learning.","PeriodicalId":349478,"journal":{"name":"Robotic Systems and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128922914","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":"Cyber-physical universal safety and crash detection system for autonomous robot","authors":"H. Pikner, M. Malayjerdi","doi":"10.21595/rsa.2021.22113","DOIUrl":"https://doi.org/10.21595/rsa.2021.22113","url":null,"abstract":"Multi-purpose mobile robots with a modular layout have become a hot research topic in recent years. The safe performance of these robot’s operations is relying on the low-level cyber-physical system (CPS). In this paper, the scientific goals underscore the analysis of the computational (cyber) units for low-level real-time fault monitoring. The purpose of these units is to monitor control signals issued by other (cyber) units or sensors and if there is a safety-critical problem, then predefined actions can be triggered. The safety controller was built and tested on the TalTech iseAuto platform. Based on the results, a new multi-layer universal safety system was developed. In the first layer, all signals and messages are checked to be in a suitable range or order. The second layer detects if an accident is happening using crash sensors. The third layer includes remote control switches support. If a failure or malfunction occurs, the emergency action plan is executed to stop the vehicle safely.","PeriodicalId":349478,"journal":{"name":"Robotic Systems and Applications","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128910127","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":"Positioning algorithm for AGV autonomous driving platform based on artificial neural networks","authors":"P. Balazy, P. Gut, P. Knap","doi":"10.21595/rsa.2021.22109","DOIUrl":"https://doi.org/10.21595/rsa.2021.22109","url":null,"abstract":"This paper presents an artificial intelligence algorithm responsible for the autonomy of a platform. The proposed algorithm allows the platform to move from an initial position to a set one without human intervention and with understanding and response to the dynamic environment. The implementation of such a task is possible by using a combination of a camera identifying the environment with a laser LIDAR sensor and a vision system. The signals from the sensors are analysed through convolutional neural networks. Based on AI inference, the platform makes decisions, including determining the optimal path for itself. A transfer learning method will be used to teach the neural network. This article presents the results of learning the applied neural algorithm.","PeriodicalId":349478,"journal":{"name":"Robotic Systems and Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115522011","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}
V. Bučinskas, Jurga Subaciute-Zemaitiene, Andrius Dzedzickis, I. Morkvėnaitė-Vilkončienė
{"title":"Robotic micromanipulation: a) actuators and their application","authors":"V. Bučinskas, Jurga Subaciute-Zemaitiene, Andrius Dzedzickis, I. Morkvėnaitė-Vilkončienė","doi":"10.21595/rsa.2021.22071","DOIUrl":"https://doi.org/10.21595/rsa.2021.22071","url":null,"abstract":"Development of biotechnology and technologies related to small size object position and placement in working area, ensuring desired orientation and fitting during movement into prescribed positions. Paper provides an effort to classify and provide a sorted list of applications in the variety of existing robotic systems to manipulate the object of micrometric size. Extensive development of robotic systems fosters intensive request of accurate and fast drives for robots and manipulators. Paper overviews and specifies a broad spectrum of micrometric scale drives, operating under certain physical effects. These drives are analyzed according to their physical domain, movement mode, stroke or angle range, generated force, speed of movement and other essential drive parameters. The paper concludes a high potential of drives development and points direction to future their application possibilities in microrobotics.","PeriodicalId":349478,"journal":{"name":"Robotic Systems and Applications","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114216817","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":"Design of a high-payload Mecanum-wheel ground vehicle (MWGV)","authors":"Zibo Chen, Pei-Ren Liaw, V. Nguyen, P. Lin","doi":"10.21595/rsa.2021.22133","DOIUrl":"https://doi.org/10.21595/rsa.2021.22133","url":null,"abstract":"With the rapid developments of Industry 4.0 and Smart Manufacturing, customized manufacturing has been becoming greatly needed. Meanwhile, the challenge of production automation has become more bigger, especially for the automation of moving, picking, placing and manipulating objects. Many researchers have begun to work on Autonomous Ground Vehicles (AGVs). Most AGVs were utilized to carry middle or small objects, as the high-payload AGVs were rarely developed. This paper focused on the design of a High-Payload Mecanum-Wheel Ground Vehicle (MWGV), which was 1.7 m wide and 2.04 m long. The weight of the vehicle was 740 kg and it was able to carry the payload as its own weight (i.e. around 7,300 N). The safety factor of the structural strength was greater than 1.66 and the safety factor of the axial design was at least 6.24. The vehicle was designed to carry 150-kg weight with a reach of 1.375 m without falling. The design of Mecanum wheels provided great flexibility on movement with small rotational radius. Mathematical descriptions about how Mecanum wheels were controlled was also introduced in this paper. Furthermore, the mechatronics and software integrations were demonstrated. The final experimental results showed the developed MWGV was able to perform the desired movement properly.","PeriodicalId":349478,"journal":{"name":"Robotic Systems and Applications","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126291607","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}