S
Sotiris Makris
Researcher at University of Patras
Publications - 153
Citations - 5321
Sotiris Makris 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 35, co-authored 126 publications receiving 3607 citations.
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Automotive assembly technologies review: challenges and outlook for a flexible and adaptive approach
TL;DR: In this article, emerging technologies in the automotive assembly are discussed, along with techniques used in the vehicle assembly plants, and concepts integrating various new technologies into supporting both automated and human-based assembly operations are presented and discussed versus this identified inability for mass customization.
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Human–robot interaction review and challenges on task planning and programming
TL;DR: A review of recent research and progress on HRI, related to task planning/coordination and programming with emphasis on the manufacturing/production environment and a survey on multimodal communication frameworks is presented.
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Symbiotic human-robot collaborative assembly
Lihui Wang,Robert X. Gao,József Váncza,József Váncza,Jörg Krüger,Jörg Krüger,Xi Vincent Wang,Sotiris Makris,George Chryssolouris +8 more
TL;DR: An overview of symbiotic human-robot collaborative assembly is provided and future research directions for voice processing, gesture recognition, haptic interaction, and brainwave perception are highlighted.
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Design Considerations for Safe Human-robot Collaborative Workplaces
George Michalos,Sotiris Makris,Panagiota Tsarouchi,Toni Guasch,Dimitris Kontovrakis,George Chryssolouris +5 more
TL;DR: In this paper, the authors deal with the design of assembly stations, where human-robot collaborative tasks are carried out, based on the assembly process specifications, different control, safety and operator support strategies have to be implemented in order for the human safety and the overall system's productivity to be ensured.
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On a human-robot collaboration in an assembly cell
TL;DR: An intelligent decision-making method that allows human-robot task allocation is proposed and is integrated within a Robot Operating System (ROS) framework that enables the allocation of sequential tasks assigned to a robot and a human in separate workspaces.