Multilevel control of flexible manufacturing systems

Solvang, Bjørn; Sziebig, Gábor; Korondi, Péter

doi:10.1109/hsi.2008.4581541

Cited by 16 publications

(7 citation statements)

References 15 publications

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“…More advanced interaction modes can be achieved using a 3D scanner during the inspection procedure or by instructing an industrial robot through human gestures [12]. Distant programming of shop-floor controllers is possible by introducing Virtual Reality techniques [13]. More detailed description of different components could be found in [14].…”

Section: Towards a Deeper System Integrationmentioning

confidence: 99%

On industrial robots and cognitive info-communication

Solvang

Sziebig

2012

2012 IEEE 3rd International Conference on Cognitive Infocommunications (CogInfoCom)

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In order to utilize the full potential of industrial robots its human operators need to gain a deep technical understanding of rather complex mechatronic devices. However, such knowledge does not come easily, its building blocks is university level mathematics, physics, mechanical and electrical engineering, control theory and computer science.In this paper we will shift focus, by asking the question; could we expect that the robot system should understand us humans, rather requiring the opposite?A selection of our initiatives and recent developments in programming and control of industrial robots will be presented to promote a development towards a more human friendly future at the shop-floor.

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Section: Towards a Deeper System Integrationmentioning

confidence: 99%

On industrial robots and cognitive info-communication

Solvang

Sziebig

2012

2012 IEEE 3rd International Conference on Cognitive Infocommunications (CogInfoCom)

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“…The main challenges to tackle are therefore to increase acceptability from operators and to provide natural collaboration between human and robot [7,8]. For both challenges, assumptions are made on the environment and what information appears in it (multi-modal communication) [9]. A closed world assumption states that the world model contains everything the robot needs to know.…”

Section: Introductionmentioning

confidence: 99%

Architecture for Safe Human-Robot Collaboration: Multi-Modal Communication in Virtual Reality for Efficient Task Execution

Shu

Sziebig

Pieters

2019

2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)

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Task-sharing and Human-Robot Collaboration has gained increased attention with the widespread commissioning and usage of collaborative robots. However, recent studies show that the fenceless collaborative robots are not as harmless as they look like. In order to study Human-Robot Interaction scenarios, in a safe manner, we propose to execute the scenario in Virtual Reality simulation and afterwards implement it in real robotic applications (supervised from VR). In addition, this simulated world allows ad-hoc modifications and easy prototyping of different multi-modal communication forms. In this paper we propose an architecture for safe human-robot collaboration and describe a use-case: task of nut screwing, which is executed by the human and the robot together. The nut is hold by the human and the screw is screwed into the nut by the robot (as this part is the repetitive part of the task). The task can be executed in the VR simulation with different input and feedback channels (multi-modal) in order to identify the most efficient communication way between the human and the robot. The different input and output channels are presented in detail.

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“…The most important middleware solutions can be found in [10]- [14] and a comparison can be found in [14]. [15]. The main goal of the middleware system is the development of a common language and control concept for different users and tasks.…”

Section: Rt-middleware Frameworkmentioning

confidence: 99%

Shop-floor controller based on RT-middleware technology

Tajti

Szayer

Kovács

et al. 2013

2013 9th Asian Control Conference (ASCC)

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Abstract-Nowadays the flexible configuration of manufacturing cells becomes to an important requirement especially at small and medium sized companies. This method can make the production fast and effective at small series or frequent manufacturing changes. The shop-floor control method -presented in this paper -offers a solution for the facing problem of fast and easy reconfiguration. The hardware of the controller designed modular with software components for online configuration. This solution allows sensor integration on different levels for every part of the manufacturing cell. With unified programming language and the machine specific controllers (post-processing) the cells can be defined easily by different types of human-machine interaction. The shop-floor control architecture is implemented and validated on an Adept SCARA robot. The robot is driven by standalone, low-level, interchangeable, software and hardware components.

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Multilevel control of flexible manufacturing systems

Cited by 16 publications

References 15 publications

On industrial robots and cognitive info-communication

On industrial robots and cognitive info-communication

Architecture for Safe Human-Robot Collaboration: Multi-Modal Communication in Virtual Reality for Efficient Task Execution

Shop-floor controller based on RT-middleware technology

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