V
Valeria Villani
Researcher at University of Modena and Reggio Emilia
Publications - 69
Citations - 1234
Valeria Villani is an academic researcher from University of Modena and Reggio Emilia. The author has contributed to research in topics: Robot & Automation. The author has an hindex of 11, co-authored 62 publications receiving 708 citations. Previous affiliations of Valeria Villani include Università Campus Bio-Medico.
Papers
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Journal ArticleDOI
Survey on human–robot collaboration in industrial settings: Safety, intuitive interfaces and applications
TL;DR: An extensive review on human–robot collaboration in industrial environment is provided, with specific focus on issues related to physical and cognitive interaction, and the commercially available solutions are presented.
Journal ArticleDOI
Survey on Human-Robot Interaction for Robot Programming in Industrial Applications
TL;DR: It is pointed out that collaborative robotics can effectively reduce operator’s physical workload if easy to use interfaces for robot programming are provided.
Journal ArticleDOI
Baseline wander removal for bioelectrical signals by quadratic variation reduction
Antonio Fasano,Valeria Villani +1 more
TL;DR: This paper proposes a novel approach to baseline wander estimation and removal for bioelectrical signals, based on the notion of quadratic variation reduction, which outperforms state-of-the-art algorithms in terms of computational complexity.
Proceedings ArticleDOI
Towards modern inclusive factories: A methodology for the development of smart adaptive human-machine interfaces
Valeria Villani,Lorenzo Sabattini,Julia N. Czerniaki,Alexander Mertens,Birgit Vogel-Heuser,Cesare Fantuzzi +5 more
TL;DR: In this paper, a methodology for the design of adaptive human-centred HMI for industrial machines and robots is presented, which relies on three pillars: measurement of user's capabilities, adaptation of the information presented in the HMI, and training of the user.
Journal ArticleDOI
Relieving operators’ workload: Towards affective robotics in industrial scenarios
Chiara Talignani Landi,Valeria Villani,Federica Ferraguti,Lorenzo Sabattini,Cristian Secchi,Cesare Fantuzzi +5 more
TL;DR: This paper proposes to analyze the mental workload of the operator, and subsequently adapt the behavior of the robotic system, introducing assistive technologies that would prevent the performances deterioration caused by the human stress.