AI and ML for Human-Robot Cooperation in Intelligent and Flexible Manufacturing

Manuel A. Ruiz Garcia (), Erwin Rauch (), Renato Vidoni () and Dominik T. Matt ()
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Manuel A. Ruiz Garcia: Free University of Bozen-Bolzano, Piazza Università
Erwin Rauch: Free University of Bozen-Bolzano, Piazza Università
Renato Vidoni: Free University of Bozen-Bolzano, Piazza Università
Dominik T. Matt: Free University of Bozen-Bolzano, Piazza Università

Chapter Chapter 3 in Implementing Industry 4.0 in SMEs, 2021, pp 95-127 from Springer

Abstract: Abstract Human–robot cooperation aims to increase the flexibilization of manufacturing systems. This requires safe human–machine interaction (e.g. with collaborative robots) as well as self and environment awareness capabilities to interact autonomously and smartly between humans and machines. Therefore, the goal of this chapter is to conceptualize and identify the set of real-time information processing and decision-making capabilities required for collaborative robots to be considered as a safe companion in the context of human–robot cooperation (HRC). In particular, the chapter provides an overview of appropriate artificial intelligence (AI) and machine learning (ML) concepts, formally introduces the concept of a safety-aware cyber-physical system and defines a general taxonomy for the perceptive and cognitive problems arising in the context of intelligent and flexible HRC.

Keywords: Small- and medium-sized enterprises; SME; Industry 4.0; Flexible manufacturing; Artificial intelligence; Machine learning; Human–robot cooperation (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-70516-9_3

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DOI: 10.1007/978-3-030-70516-9_3

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