A Human Robot Interaction-based approach to automation in industrial manufacturing

Cerlinca, Tudor Ioan; Vlad, V. I.

doi:10.1109/icepe.2012.6463602

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…In the field of manufacturing resource (MR) access, common techniques include the use of an adapter and a wireless sensor [5], or an intelligent embedded sensor [6] and other technologies to achieve access to tools, machining centres, and other hardware MRs. Koshizuka et al [7] used RFID and two-dimensional codes to identify object information, and used network sensors to collect surrounding environmental data for adjusting logistics service information. Tudor [8] proposed a human robot interaction-based system that allows a human operator to interact with an industrial robot in a natural way through hand gestures. In a similar manner, other researchers [9] developed an interactive prototype for controlling the loading station of a factory automation system.…”

Section: Related Workmentioning

confidence: 99%

Additive Manufacturing Cloud via Peer-Robot Collaboration

Yao

Dong

Wang

et al. 2016

International Journal of Advanced Robotic Systems

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When building a 3D printing cloud manufacturing platform, self-sensing and collaboration on manufacturing resources present challenging problems. This paper proposes a peer-robot collaboration framework to deal with these issues. Each robot combines heterogeneous additive manufacturing hardware and software, acting as an intelligent agent. Through collaboration with other robots, it forms a dynamic and scalable integration manufacturing system. The entire distributed system is managed by rules that employ an internal rule engine, which supports rule conversion and conflict resolution. Two additive manufacturing service scenarios are designed to analyse the efficiency and scalability of the framework. Experiments show that the presented method performs well in tasks requiring large-scale access to resources and collaboration.

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Section: Related Workmentioning

confidence: 99%

Additive Manufacturing Cloud via Peer-Robot Collaboration

Yao

Dong

Wang

et al. 2016

International Journal of Advanced Robotic Systems

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“…The earlier studies focusing communication are mainly centered on how to make robots understand humans, through gestures, path tracking, or speech recognition [2,4,6,7,10,16,21]. Some studies investigate trust and how humans perceive the robots behavior and their ability to foresee or predict the robots next move [5,11].…”

Section: Introductionmentioning

confidence: 99%

How to transfer information between collaborating human operators and industrial robots in an assembly

Augustsson

Olsson

Christiernin

et al. 2014

Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational

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Flexible human-robot industrial coproduction will be important in many small and middle-sized companies in the future. One of the major challenges in a flexible robot cell is how to transfer information between the human and the robot with help of existing and safety approved equipment. In this paper a case study will be presented where the first half focus on data transfer to the robot communicating the human's position and movements forcing the robot to respond to the triggers. The second half focuses on how to visualize information about the settings and assembly order to the human. The outcome was successful and flexible, efficient coproduction could be achieved but also a number of new challenges were found.

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