@inproceedings{MTMT:34720525,
	title = {Towards a Connected Robotic Ecosystem},
	url = {https://m2.mtmt.hu/api/publication/34720525},
	author = {Balogh, Marcell and Kovács, Bence and Vidács, Attila and Szabó, Géza},
	booktitle = {2023 IEEE Conference on Standards for Communications and Networking (CSCN)},
	doi = {10.1109/CSCN60443.2023.10453178},
	unique-id = {34720525},
	abstract = {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.},
	keywords = {Connectivity; Robotics; Engineering, Electrical & Electronic},
	year = {2023},
	pages = {142-147},
	orcid-numbers = {Balogh, Marcell/0000-0002-6581-8028}
}

@inproceedings{MTMT:34628221,
	title = {Network resource management for cyber-physical production systems based on quality of experience},
	url = {https://m2.mtmt.hu/api/publication/34628221},
	author = {Vidács, Attila and Trombitás, Z. and Szabó, G.},
	booktitle = {Modelling and simulation 2023 : the European Simulation and Modelling Conference 2023 : ESM'2023},
	unique-id = {34628221},
	abstract = {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.},
	keywords = {manufacturing; manufacturing; Intelligent robots; resource allocation; Quality of service; Industrial processs; Natural resources management; Telecommunications; Value chains; PRODUCTION SYSTEM; discrete simulation; Industrial challenges; Cyber Physical System; Edge clouds; Cyber physicals; Network resource management; Network provider; Discrete simulations},
	year = {2023},
	pages = {317-323}
}

@inproceedings{MTMT:34077851,
	title = {Impact of Network Resource Management On Quality of Industrial Processes},
	url = {https://m2.mtmt.hu/api/publication/34077851},
	author = {Szabó, Géza and Trombitás, Z. and Pető, József and Lohmar, T. and Komlósi, I. and Pepó, T. and Vidács, Attila and Andó, M.},
	booktitle = {NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium},
	doi = {10.1109/NOMS56928.2023.10154396},
	unique-id = {34077851},
	year = {2023},
	pages = {1-4}
}

@inproceedings{MTMT:34007255,
	title = {Validation of Cloud-Controlled Autonomous Mobile Robots in a Real Semiconductor Plant},
	url = {https://m2.mtmt.hu/api/publication/34007255},
	author = {Reider, Norbert and Németh, Gábor and Rácz, Sándor and Balogh, Marcell and Vidács, Attila and Fehér, Gábor and Harutyunyan, Davit and Buseck, Peter and Hohner, Andreas},
	booktitle = {2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)},
	doi = {10.1109/EuCNC/6GSummit58263.2023.10188377},
	unique-id = {34007255},
	abstract = {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.},
	year = {2023},
	pages = {681-686},
	orcid-numbers = {Balogh, Marcell/0000-0002-6581-8028}
}

@article{MTMT:33087814,
	title = {Measuring Robot System Agility: Ontology, System Theoretical Formulation and Benchmarking},
	url = {https://m2.mtmt.hu/api/publication/33087814},
	author = {Vidács, Attila and Szabó, Géza and Balogh, Marcell},
	doi = {10.1007/978-3-031-16072-1_14},
	journal-iso = {LNNS},
	journal = {LECTURE NOTES IN NETWORKS AND SYSTEMS},
	volume = {542},
	unique-id = {33087814},
	issn = {2367-3370},
	abstract = {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.},
	year = {2023},
	eissn = {2367-3389},
	pages = {173-191},
	orcid-numbers = {Balogh, Marcell/0000-0002-6581-8028}
}

@article{MTMT:32763699,
	title = {Optimizing Camera Stream Transport in Cloud-Based Industrial Robotic Systems},
	url = {https://m2.mtmt.hu/api/publication/32763699},
	author = {Balogh, Marcell and Vidács, Attila},
	doi = {10.36244/ICJ.2022.1.5},
	journal-iso = {INFOCOMM J},
	journal = {INFOCOMMUNICATIONS JOURNAL},
	volume = {14},
	unique-id = {32763699},
	issn = {2061-2079},
	abstract = {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.},
	year = {2022},
	eissn = {2061-2125},
	pages = {36-42},
	orcid-numbers = {Balogh, Marcell/0000-0002-6581-8028}
}

@inproceedings{MTMT:32767108,
	title = {Father: Factory on the road},
	url = {https://m2.mtmt.hu/api/publication/32767108},
	author = {Szabó, Géza and Tárnok, B. and Vajda, L. and Pető, József and Vidács, Attila},
	booktitle = {35th Annual European Simulation and Modelling Conference 2021},
	unique-id = {32767108},
	year = {2021},
	pages = {86-88}
}

@inproceedings{MTMT:32540752,
	title = {Cloud-Controlled Autonomous Mobile Robot Platform},
	url = {https://m2.mtmt.hu/api/publication/32540752},
	author = {Balogh, Marcell and Vidács, Attila and Feher, Gabor and Maliosz, Markosz and Horvath, Marton Aron and Reider, Norbert and Racz, Sandor},
	booktitle = {2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)},
	doi = {10.1109/PIMRC50174.2021.9569730},
	unique-id = {32540752},
	abstract = {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.},
	year = {2021},
	pages = {1-6},
	orcid-numbers = {Balogh, Marcell/0000-0002-6581-8028}
}

@article{MTMT:32246116,
	title = {Winning ARIAC 2020 by KISSing The BEAR: Keeping things simple in Best Effort Agile Robotics},
	url = {https://m2.mtmt.hu/api/publication/32246116},
	author = {Vidács, Attila and Szabó, Géza},
	doi = {10.1016/j.rcim.2021.102166},
	journal-iso = {ROBOT CIM-INT MANUF},
	journal = {ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING},
	volume = {71},
	unique-id = {32246116},
	issn = {0736-5845},
	abstract = {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},
	keywords = {STANDARDIZATION; COMPETITION; control; Industrial robots; Software design; Robotics; Robotics; Internet technology; Industry; Software development process; Error handling; Agility; algorithm design; industrial automation; Best effort; Best effort; Agricultural robots; Agile robotics},
	year = {2021},
	eissn = {1879-2537}
}

@inproceedings{MTMT:32246148,
	title = {Radio Resource-and Quality of Control-aware Planning for Self-reconfiguring Factory Cells},
	url = {https://m2.mtmt.hu/api/publication/32246148},
	author = {Szabó, Géza and Vajda, L. and Pető, József and Vidács, Attila},
	booktitle = {2020 IEEE Globecom Workshops, GC Wkshps 2020},
	doi = {10.1109/GCWkshps50303.2020.9367483},
	unique-id = {32246148},
	abstract = {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.},
	keywords = {quality control; Robot programming; Radio resources; Physical simulation; Modular robots; Speed up; Quality of controls; Domain-independent planning},
	year = {2020}
}