Renato Vidoni

Prof. Renato Vidoni

Faculty of Science and Technology, Free University of Bozen-Bolzano, 39100 Bolzano, Italy
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Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2021 in Robotics and Computer-Integrated Manufacturing
Verified
Journal Article
Open access
LGLuca Gualtieri
Luca Gualtieri
ERErwin Rauch
Erwin Rauch
Renato VidoniRenato Vidoni
Renato Vidoni

13 March 2015
Verified
Book Chapter
Closed access
PDF file
Alessandro GasparettoAlessandro Gasparetto
Alessandro Gasparetto
PBPaolo Boscariol
Paolo Boscariol
ALAlbano Lanzutti
Albano Lanzutti
Renato VidoniRenato Vidoni
Renato Vidoni

7 December 2017 in Robotics
Verified
Journal Article
Open access
PDF file
Giovanni CarabinGiovanni Carabin
Giovanni Carabin
Erich WehrleErich Wehrle
Erich Wehrle
Renato VidoniRenato Vidoni
Renato Vidoni
In the last decades, increasing energy prices and growing environmental awareness have driven engineers and scientists to find new solutions for reducing energy consumption in manufacturing. Although many processes of a high energy consumption (e.g., chemical, heating, etc.) are considered to have reached high levels of efficiency, this is not the case for many other industrial manufacturing activities. Indeed, this is the case for robotic and automatic systems, for which, in the past, the minimization of energy demand was not considered a design objective. The proper design and operation of industrial robots and automation systems represent a great opportunity for reducing energy consumption in the industry, for example, by the substitution with more efficient systems and the energy optimization of operation. This review paper classifies and analyses several methodologies and technologies that have been developed with the aim of providing a reference of existing methods, techniques and technologies for enhancing the energy performance of industrial robotic and mechatronic systems. Hardware and software methods, including several subcategories, are considered and compared, and emerging ideas and possible future perspectives are discussed.

29 April 2020 in Sustainability
Verified
Journal Article
Open access
PDF file
Luca GualtieriLuca Gualtieri
Luca Gualtieri
Ilaria PalombaIlaria Palomba
Ilaria Palomba
FMFabio Antonio Merati
Fabio Antonio Merati
Erwin RauchErwin Rauch
Erwin Rauch
Renato VidoniRenato Vidoni
Renato Vidoni
Industrial collaborative robotics is one of the main enabling technologies of Industry 4.0. Collaborative robots are innovative cyber-physical systems, which allow safe and efficient physical interactions with operators by combining typical machine strengths with inimitable human skills. One of the main uses of collaborative robots will be the support of humans in the most physically stressful activities through a reduction of work-related biomechanical overload, especially in manual assembly activities. The improvement of operators’ occupational work conditions and the development of human-centered and ergonomic production systems is one of the key points of the ongoing fourth industrial revolution. The factory of the future should focus on the implementation of adaptable, reconfigurable, and sustainable production systems, which consider the human as their core and valuable part. Strengthening actual assembly workstations by integrating smart automation solutions for the enhancement of operators’ occupational health and safety will be one of the main goals of the near future. In this paper, the transformation of a manual workstation for wire harness assembly into a collaborative and human-centered one is presented. The purpose of the work is to present a case study research for the design of a collaborative workstation to improve the operators’ physical ergonomics while keeping or increasing the level of productivity. Results demonstrate that the achieved solution provides valuable benefits for the operators’ working conditions as well as for the production performance of the companies. In particular, the biomechanical overload of the worker has been reduced by 12.0% for the right part and by 28% for the left part in terms of manual handling, and by 50% for the left part and by 57% for the right part in terms of working postures. In addition, a reduction of the cycle time of 12.3% has been achieved.

30 August 2012 in Mathematics in Computer Science
Verified
Journal Article
Closed access
PDF file
Alessandro GasparettoAlessandro Gasparetto
Alessandro Gasparetto
PBPaolo Boscariol
Paolo Boscariol
ALAlbano Lanzutti
Albano Lanzutti
Renato VidoniRenato Vidoni
Renato Vidoni

1 January 2022 in Computers & Industrial Engineering
Verified
Journal Article
Open access
LGLuca Gualtieri
Luca Gualtieri
ERErwin Rauch
Erwin Rauch
Renato VidoniRenato Vidoni
Renato Vidoni