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  1. Research Outputs

Survey on Human-Robot Interaction for Robot Programming in Industrial Applications

Chapter
Publication Date:
2018
Short description:
Survey on Human-Robot Interaction for Robot Programming in Industrial Applications / Villani, Valeria; Pini, Fabio; Leali, Francesco; Secchi, Cristian; Fantuzzi, Cesare. - 51:11(2018), pp. 66-71. [10.1016/j.ifacol.2018.08.236]
abstract:
The recent trends in modern industry highlight an increasing use of robots for a wide range of applications, which span from established manufacturing operations to novel tasks characterized by a close collaboration with the operators. Although human-robot collaboration allows to relieve operators of exhausting works, an effective collaboration requires a straightforward interaction to foster the use of robot assistants. This paper provides a comprehensive survey on human-robot interaction approaches and related interfaces addressed to robot programming. An overview of on-line and off-line robot programming techniques is first presented. Then, novel intuitive interaction means, such as those based on multi-modal interaction, virtual and augmented reality, are considered. The paper aims at pointing out that collaborative robotics can effectively reduce operator's physical workload if easy to use interfaces for robot programming are provided.
Iris type:
Capitolo/Saggio
Keywords:
Intelligent interfaces; Robotics technology; Human operator support; Multi-modal interaction; Design methodology for HMS
List of contributors:
Villani, Valeria; Pini, Fabio; Leali, Francesco; Secchi, Cristian; Fantuzzi, Cesare
Authors of the University:
FANTUZZI Cesare
LEALI Francesco
PINI Fabio
SECCHI Cristian
VILLANI VALERIA
Handle:
https://iris.unimore.it/handle/11380/1166293
Full Text:
https://iris.unimore.it//retrieve/handle/11380/1166293/203752/1-s2.0-S2405896318313600-main.pdf
Book title:
16th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2018
Published in:
IFAC-PAPERSONLINE
Journal
IFAC-PAPERSONLINE
Series
  • Overview

Overview

URL

http://www.journals.elsevier.com/ifac-papersonline/
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