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Panagiotis Karagiannis

Researcher at University of Patras

Publications -  20
Citations -  671

Panagiotis Karagiannis is an academic researcher from University of Patras. The author has contributed to research in topics: Robot & Computer science. The author has an hindex of 7, co-authored 15 publications receiving 402 citations.

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Augmented reality system for operator support in human–robot collaborative assembly

TL;DR: In this article, the authors present the design and implementation of an augmented reality (AR) tool in aid of operators being in a hybrid, human and robot collaborative industrial environment, which aims to provide production and process related information as well as to enhance the operators' immersion in the safety mechanisms, dictated by the collaborative workspace.
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Augmented Reality (AR) Applications for Supporting Human-robot Interactive Cooperation

TL;DR: An Augmented Reality (AR) tool for supporting operators where humans and robots coexist in a shared industrial workplace can significantly enhance the operator's working conditions and their integration in the assembly process.
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Seamless human robot collaborative assembly – An automotive case study

TL;DR: The proposed approach aims at combining the benefits of high payload industrial robots with human capabilities under a fenceless environment, by assigning to them each task based on their capabilities.
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Towards seamless human robot collaboration: integrating multimodal interaction

TL;DR: The challenges in the collaboration between human operators and industrial robots for assembly operations focusing on safety and simplified interaction are discussed, and a case study is presented, involving perception technologies for the robot in conjunction with wearable devices used by the operator.
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Application of Wearable Devices for Supporting Operators in Human-Robot Cooperative Assembly Tasks

TL;DR: The paper focuses on the development of the smartwatch application and its integration with the network of resources under the ROS framework and indicates that the approach can significantly enhance the operators' integration in the hybrid assembly system.