TY - CHAP AU - Balogh, Marcell AU - Kovács, Bence AU - Vidács, Attila AU - Szabó, Géza TI - Towards a Connected Robotic Ecosystem T2 - 2023 IEEE Conference on Standards for Communications and Networking (CSCN) PB - IEEE CY - Piscataway (NJ) SN - 9798350395389 PY - 2023 SP - 142 EP - 147 PG - 6 DO - 10.1109/CSCN60443.2023.10453178 UR - https://m2.mtmt.hu/api/publication/34720525 ID - 34720525 N1 - Huawei; IEEE Standards Association; Qualcomm Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics, Hsn Lab, Department of Telecommunications and Media Informatics, Budapest, Hungary Ericsson Research, Budapest, Hungary Conference code: 197830 Export Date: 22 March 2024 Correspondence Address: Balogh, M.; Budapest University of Technology and Economics, Hungary; email: balogh.marcell@edu.bme.hu AB - One of the key promises of Industry 4.0 is to highlight the connectivity between different components. Although existing frameworks can manage networked robotic systems, the robotic and networking components are still rigidly separated. To tackle the challenges, we propose a concept of why and how modern robotic systems should include standardised connectivity features and network components in a complex robotic system. In this paper, we present our idea of bringing robot systems and networks closer by augmenting current standard technologies. As part of the IEEE P2940 standardisation goal, the formal description of robot systems is extended to include network components in a standardised way. We show how this can be implemented using a popular robot system development framework to support connectivity features. We also show an example evaluation done with an industrial manipulator model. LA - English DB - MTMT ER - TY - CHAP AU - Vidács, Attila AU - Trombitás, Z. AU - Szabó, G. ED - Vingerhoeds, R. ED - de, Saqui-Sannes P. TI - Network resource management for cyber-physical production systems based on quality of experience T2 - Modelling and simulation 2023 : the European Simulation and Modelling Conference 2023 : ESM'2023 PB - European Multidisciplinary Society for Modelling and Simulation Technology (EUROSIS) CY - Ostend SN - 9789492859280 PY - 2023 SP - 317 EP - 323 PG - 7 UR - https://m2.mtmt.hu/api/publication/34628221 ID - 34628221 N1 - AREA42; et al.; EUROSIS - The European Simulation Society; ISAE-SUPAERO; KULeuven BIOTEC; University of Zilina HSN Lab, Department of Telecommunications and Media Informatics, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Hungary Ericsson Research, Budapest, Hungary Conference code: 196295 Export Date: 19 February 2024 AB - In today’s industrial challenges, it can be observed that the trends point in the direction of agile, wireless connected robots where elements of intelligence and control are implemented in the edge cloud. This paper outlines the roles of three key participants in the value chain of an industrial process: the network provider, the robot operator, and the customer. It proposes a scheme where the Quality of Service (QoS) parameters of the robot are fed into the network to inform network resource management. A sanding process use case is simulated to demonstrate the relationship between QoS and Quality of Experience (QoE) for each participant, quantitatively. A demonstration video is available at (sanding-demo-video 2023). © 2023 ESM. All Rights Reserved. LA - English DB - MTMT ER - TY - CHAP AU - Szabó, Géza AU - Trombitás, Z. AU - Pető, József AU - Lohmar, T. AU - Komlósi, I. AU - Pepó, T. AU - Vidács, Attila AU - Andó, M. ED - Akkaya, K ED - Festor, O ED - Fung, C ED - Rahman, M A ED - Granville, L Z ED - dos Santos, C R A TI - Impact of Network Resource Management On Quality of Industrial Processes T2 - NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium PB - IEEE CY - Piscataway (NJ) SN - 9781665477161 PY - 2023 SP - 1 EP - 4 PG - 4 DO - 10.1109/NOMS56928.2023.10154396 UR - https://m2.mtmt.hu/api/publication/34077851 ID - 34077851 N1 - Ericsson Hungary Ltd., Budapest, Hungary Kuka Hungary Ltd, Hungary Budapest University of Technology and Economics, Hungary Elte Eötvös Loránd University, Faculty of Informatics, Budapest, Hungary ELKH-BME Cloud Applications Research Group, Hungary Export Date: 27 July 2023 Correspondence Address: Szabó, G.; Ericsson Hungary Ltd.Hungary; email: geza.szabo@ericsson.com Correspondence Address: Lohmar, T.; Ericsson Hungary Ltd.Hungary LA - English DB - MTMT ER - TY - CHAP AU - Reider, Norbert AU - Németh, Gábor AU - Rácz, Sándor AU - Balogh, Marcell AU - Vidács, Attila AU - Fehér, Gábor AU - Harutyunyan, Davit AU - Buseck, Peter AU - Hohner, Andreas TI - Validation of Cloud-Controlled Autonomous Mobile Robots in a Real Semiconductor Plant T2 - 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit) PB - IEEE CY - [s.l.] SN - 9798350311037 PY - 2023 SP - 681 EP - 686 PG - 6 DO - 10.1109/EuCNC/6GSummit58263.2023.10188377 UR - https://m2.mtmt.hu/api/publication/34007255 ID - 34007255 N1 - Ericsson Research, Budapest, Hungary Budapest University of Technology and Economics, HSN Lab, Budapest, Hungary Bosch Corporate Research, Stuttgart, Germany Bosch Semiconductor Plant, Reutlingen, Germany Export Date: 29 August 2023 AB - This paper gives a detailed outline of the trial and the validation of cloud-controlled collaborative mobile robots applied in a real semiconductor factory of Bosch in Reutlingen, Germany. Two Autonomous Mobile Robots (AMRs) are controlled from the cloud over a 5G Standalone (SA) private network deployed inside the plant. We describe the methodology adopted to validate and evaluate this use case, using the industry goals set by the factory management to understand how much each industry goal is affected by the usage of 5G and cloud technologies. We then present the test results of the Key Performance Indicators (KPIs) in various validation scenarios executed in the operational factory. Finally, we demonstrate that 5G technology is ready to be used for the considered industrial application. LA - English DB - MTMT ER - TY - JOUR AU - Vidács, Attila AU - Szabó, Géza AU - Balogh, Marcell TI - Measuring Robot System Agility: Ontology, System Theoretical Formulation and Benchmarking JF - LECTURE NOTES IN NETWORKS AND SYSTEMS J2 - LNNS VL - 542 PY - 2023 SP - 173 EP - 191 PG - 19 SN - 2367-3370 DO - 10.1007/978-3-031-16072-1_14 UR - https://m2.mtmt.hu/api/publication/33087814 ID - 33087814 N1 - Megjelent a Intelligent Systems and Applications: Proceedings of the 2022 Intelligent Systems Conference (IntelliSys) c. kötetben, Softcover ISBN: 978-3-031-16071-4 High-Speed Networks Laboratory, Department of Telecommunications and Media Informatics, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary Ericsson Research, Ericsson, Hungary Export Date: 5 October 2022 Correspondence Address: Vidács, A.; High-Speed Networks Laboratory, Hungary; email: vidacs.attila@vik.bme.hu AB - This paper introduces a concise mathematical framework for measuring robot agility. The framework is built on definitions taken from the robotics and automation domain for naming the robotic systems and components. Standardized definitions related to robot autonomy are taken into account. Robot agility is defined as an emergent system property in complex robotic systems. Based on the introduced system theoretic model and the related mathematical framework, agility evaluation methods are presented. Besides theoretical formulae, practical benchmarking methods are also considered—at least as a desirable target. The cost of agility is also discussed, as being an important factor when different systems are compared and evaluated. A simple but practical example use case of robot pick &place is examined, where all proposed agility metrics and the benchmarking procedure are explained and evaluated. LA - English DB - MTMT ER - TY - JOUR AU - Balogh, Marcell AU - Vidács, Attila TI - Optimizing Camera Stream Transport in Cloud-Based Industrial Robotic Systems JF - INFOCOMMUNICATIONS JOURNAL J2 - INFOCOMM J VL - 14 PY - 2022 IS - 1 SP - 36 EP - 42 PG - 7 SN - 2061-2079 DO - 10.36244/ICJ.2022.1.5 UR - https://m2.mtmt.hu/api/publication/32763699 ID - 32763699 N1 - Export Date: 27 May 2022 Funding text 1: ACKNOWLEDGMENT This work has been supported by the Ericsson-BME 5G This work has been supported by the Ericsson-BME 5G Joint Research and Cooperation Project, partly funded by AB - Combining visual-guided robotics with cloud networking brought a new era into industrial robotic research and development. New challenges have to be tackled with a focus on providing proper communication and data processing setup: sensor data processing as well as the control software should be decoupled from the local robot hardware and should move into the cloud. In the emerging field of cloud robotics, there are trade-offs that have to be handled. More and more sensors such as cameras are being integrated but it comes with a cost. All sensory data have to be sent through often limited networking resources, while latency must be kept as low as possible. In this paper we propose a general solution for efficient camera stream transportation in cloud robotic systems. After introducing our test scenario with the used hardware and software elements, a detailed overview of the architecture is presented with describing each task of the components. The goal of this paper is to examine the current stream transportation implementations in ROS environment and implement a more efficient method. The performance of the proposed method is investigated and compared with other solutions evidenced by measurements. LA - English DB - MTMT ER - TY - CHAP AU - Szabó, Géza AU - Tárnok, B. AU - Vajda, L. AU - Pető, József AU - Vidács, Attila ED - Armenia, S. ED - Geril, P. TI - Father: Factory on the road T2 - 35th Annual European Simulation and Modelling Conference 2021 PB - European Multidisciplinary Society for Modelling and Simulation Technology (EUROSIS) CY - Rome SN - 9789492859181 PY - 2021 SP - 86 EP - 88 PG - 3 UR - https://m2.mtmt.hu/api/publication/32767108 ID - 32767108 N1 - Ericsson Research, Budapest, Hungary HSN Lab., Department of Telecommunications and Media Informatics, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Hungary Export Date: 31 March 2022 LA - English DB - MTMT ER - TY - CHAP AU - Balogh, Marcell AU - Vidács, Attila AU - Feher, Gabor AU - Maliosz, Markosz AU - Horvath, Marton Aron AU - Reider, Norbert AU - Racz, Sandor ED - Pirinen, P. TI - Cloud-Controlled Autonomous Mobile Robot Platform T2 - 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) PB - IEEE CY - Piscataway (NJ) SN - 9781728175867 PY - 2021 SP - 1 EP - 6 PG - 6 DO - 10.1109/PIMRC50174.2021.9569730 UR - https://m2.mtmt.hu/api/publication/32540752 ID - 32540752 AB - This paper investigates cloud-based mobile robotics, with a use case focusing on the flexible transportation in modern factories. The feasibility and performance of Autonomous Mobile Robots (AMRs) fully controlled from cloud over wireless connection are studied. We show that completely decoupling the closed-loop control of the robot from the robot's embedded system and placing it into an edge cloud execution environment while sustaining the necessary KPIs is feasible. Moving the control logic into the cloud benefits from ease of maintenance of the control software and improved resiliency to software and hardware failures. Furthermore, it enables the physical platform and control intelligence to evolve separately from each other. LA - English DB - MTMT ER - TY - JOUR AU - Vidács, Attila AU - Szabó, Géza TI - Winning ARIAC 2020 by KISSing The BEAR: Keeping things simple in Best Effort Agile Robotics JF - ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING J2 - ROBOT CIM-INT MANUF VL - 71 PY - 2021 PG - 12 SN - 0736-5845 DO - 10.1016/j.rcim.2021.102166 UR - https://m2.mtmt.hu/api/publication/32246116 ID - 32246116 N1 - Export Date: 28 September 2021 CODEN: RCIME Correspondence Address: Szabó, G.; Ericsson ResearchHungary; email: geza.szabo@ericsson.com AB - In this paper we discuss our evolved understanding on the meaning of agile robotics. The lessons learned are concluded from the four years of our participation in ARIAC, the Agile Robotics for Industrial Automation Competition, that we managed to win in 2020. After elaborating on ARIAC tasks, challenges and scoring and their consequences on algorithm design, error handling and software development processes and methodologies, we introduce the concept of Best Effort Agile Robotics (BEAR). The conclusions are mapped to agility standardization directions. The concept of Best Effort Robotics (BER) is also proposed and discussed, highlighting the similarities with best effort networking, a proven concept in Internet technology. © 2021 Elsevier Ltd LA - English DB - MTMT ER - TY - CHAP AU - Szabó, Géza AU - Vajda, L. AU - Pető, József AU - Vidács, Attila ED - IEEE, , TI - Radio Resource-and Quality of Control-aware Planning for Self-reconfiguring Factory Cells T2 - 2020 IEEE Globecom Workshops, GC Wkshps 2020 PB - IEEE CY - Piscataway (NJ) SN - 9781728173078 PY - 2020 DO - 10.1109/GCWkshps50303.2020.9367483 UR - https://m2.mtmt.hu/api/publication/32246148 ID - 32246148 N1 - 6G Office; Chunghwa Telecom; et al.; Foxconn; Huawei; Mediatek Ericsson Research, Budapest, Hungary Budapest University of Technology and Economics, Hungary Conference code: 167697 Export Date: 28 September 2021 AB - In this paper, we propose a Quality of Control aware self-reconfiguring factory cell composed of modular robot elements. The planner is a necessary component. We discuss how the planner reacts to certain practical constraints. We prove with the help of domain independent planning that modular robots are viable aid in a factory cell to speed up productivity. We evaluate the proposed system in a physical simulation environment. The screen recordings of all the scenarios are shown on [1]. © 2020 IEEE. LA - English DB - MTMT ER -