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Marcello Pellicciari
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2020 – today
- 2025
- [j24]Pietro Bilancia
, Alberto Locatelli, Alessio Tutarini, Mirko Mucciarini
Online motion accuracy compensation of industrial servomechanisms using machine learning approaches. Robotics Comput. Integr. Manuf. 91: 102838 (2025) - 2024
- [j23]George-Christopher Vosniakos
Flexible automation and intelligent manufacturing highlights: special issue editorial. Int. J. Comput. Integr. Manuf. 37(9): 1041-1042 (2024) - [j22]Agnese Brunzini
An integrated methodology for the assessment of stress and mental workload applied on virtual training. Int. J. Comput. Integr. Manuf. 37(9): 1088-1106 (2024) - [j21]Margherita Peruzzini, Elisa Prati, Marcello Pellicciari
A framework to design smart manufacturing systems for Industry 5.0 based on the human-automation symbiosis. Int. J. Comput. Integr. Manuf. 37(10-11): 1426-1443 (2024) - [j20]Alessio Tutarini
Design and implementation of an active load test rig for high-precision evaluation of servomechanisms in industrial applications. J. Ind. Inf. Integr. 42: 100696 (2024) - [j19]Sergio Ferrarini, Pietro Bilancia
A method for the assessment and compensation of positioning errors in industrial robots. Robotics Comput. Integr. Manuf. 85: 102622 (2024) - 2023
- [c24]Lorenzo Valentini, Fabio Grandi, Margherita Peruzzini, Marcello Pellicciari:
UX-Driven Methodology to Design Usable Augmented Reality Applications for Maintenance. TE 2023: 42-51 - 2022
- [j18]Fabio Grandi
Creation of a UX index to design human tasks and workstations. Int. J. Comput. Integr. Manuf. 35(1): 4-20 (2022) - [j17]Fabio Grandi
Design of ergonomic dashboards for tractors and trucks: innovative method and tools. J. Ind. Inf. Integr. 25: 100304 (2022) - [j16]Pietro Bilancia
Accurate transmission performance evaluation of servo-mechanisms for robots. Robotics Comput. Integr. Manuf. 78: 102400 (2022) - [j15]Riccardo Karim Khamaisi, Agnese Brunzini, Fabio Grandi
UX assessment strategy to identify potential stressful conditions for workers. Robotics Comput. Integr. Manuf. 78: 102403 (2022) - [c23]Elisa Prati
A Systematic Literature Review of User Experience Evaluation Scales for Human-Robot Collaboration. TE 2022: 13-23 - [c22]Sara Cavallaro, Elisa Prati
UX Evaluation of a Tractor Cabin Digital Twin Using Mixed Reality. TE 2022: 370-379 - [c21]Fabio Grandi
Digital Technologies to Redesign Automatic Machines with a Human-Centric Approach: Application in Industry. TE 2022: 390-399 - [c20]Jacopo Lettori, Milton Borsato, Roberto Raffaeli, Marcello Pellicciari, Fabio Grandi
Transdisciplinary Evaluation of Simulation Software for Industry 4.0 Assembly Lines. TE 2022: 413-422 - [c19]Riccardo Karim Khamaisi, Fabio Grandi
A comprehensive UX index to evaluate industrial tasks from a human-centered perspective. MetroXRAINE 2022: 52-57 - 2021
- [j14]Fabio Grandi
A training methodology based on virtual reality to promote the learning-by-doing approach. Int. J. Adv. Oper. Manag. 13(3): 275-291 (2021) - [j13]Luca Lattanzi
Digital twin for smart manufacturing: a review of concepts towards a practical industrial implementation. Int. J. Comput. Integr. Manuf. 34(6): 567-597 (2021) - [j12]Michele Gadaleta, Giovanni Berselli, Marcello Pellicciari, Federico Grassia:
Extensive experimental investigation for the optimization of the energy consumption of a high payload industrial robot with open research dataset. Robotics Comput. Integr. Manuf. 68: 102046 (2021) - [j11]Elisa Prati
How to include User eXperience in the design of Human-Robot Interaction. Robotics Comput. Integr. Manuf. 68: 102072 (2021) - [c18]Mario Baggetta, Pietro Bilancia
An Integrated Approach for Motion Law Optimization in Partially Compliant Slider-Crank Mechanisms. ICAR 2021: 695-700 - [c17]Fabio Grandi
Benchmark on Human Simulation Tools: A Transdisciplinary Approach. TE 2021: 345-354 - 2020
- [j10]Luca Bergamini, Mario Sposato, Marcello Pellicciari, Margherita Peruzzini, Simone Calderara, Juliana Schmidt:
Deep learning-based method for vision-guided robotic grasping of unknown objects. Adv. Eng. Informatics 44: 101052 (2020) - [j9]Margherita Peruzzini
Exploring the potential of Operator 4.0 interface and monitoring. Comput. Ind. Eng. 139: 105600 (2020) - [j8]Fabio Grandi
A Transdisciplinary digital approach for tractor's human-centred design. Int. J. Comput. Integr. Manuf. 33(4): 377-397 (2020) - [c16]Fabio Grandi
Transdisciplinary Assessment Matrix to Design Human-Machine Interaction. TE 2020: 183-192 - [c15]Fabio Grandi
Application of Innovative Tools to Design Ergonomic Control Dashboards. TE 2020: 193-200
2010 – 2019
- 2019
- [j7]Giovanni Berselli, Marcello Pellicciari, Gabriele Bigi, Roberto P. Razzoli:
Design optimisation of cutting parameters for a class of radially-compliant spindles via virtual prototyping tools. Int. J. Comput. Aided Eng. Technol. 11(2): 232-252 (2019) - 2018
- [j6]Margherita Peruzzini
User experience evaluation model for sustainable manufacturing. Int. J. Comput. Integr. Manuf. 31(6): 494-512 (2018) - [j5]Santosh Devasia, Chien Chern Cheah
Guest editorial: focused section on human-centered robotics. Int. J. Intell. Robotics Appl. 2(2): 133-135 (2018) - [j4]Margherita Peruzzini, Fabio Grandi
How to analyse the workers' experience in integrated product-process design. J. Ind. Inf. Integr. 12: 31-46 (2018) - [c14]Luca Bergamini, Mario Sposato, Margherita Peruzzini, Roberto Vezzani
Deep Learning-Based Method for Vision-Guided Robotic Grasping of Unknown Objects. TE 2018: 281-290 - [c13]Fabio Grandi
Digital Manufacturing and Virtual Reality for Tractors' Human-Centred Design. TE 2018: 702-711 - [e1]Margherita Peruzzini, Marcello Pellicciari, Cees Bil, Josip Stjepandic, Nel Wognum:
Transdisciplinary Engineering Methods for Social Innovation of Industry 4.0 - Proceedings of the 25th ISPE Inc. International Conference on Transdisciplinary Engineering, TE 2018, Modena, Italy, July 3-6, 2018. Advances in Transdisciplinary Engineering 7, IOS Press 2018, ISBN 978-1-61499-897-6 [contents] - 2017
- [j3]Margherita Peruzzini, Marcello Pellicciari:
A framework to design a human-centred adaptive manufacturing system for aging workers. Adv. Eng. Informatics 33: 330-349 (2017) - [c12]Margherita Peruzzini, Fabio Grandi
A Reference Model to Analyse User Experience in Integrated Product-Process Design. TE 2017: 243-250 - [c11]Margherita Peruzzini, Marcello Pellicciari:
An Ergonomics Study on Manual Assembly Process Re-Design in Manufacturing Firms. TE 2017: 349-356 - [c10]Margherita Peruzzini, Marcello Pellicciari:
A Value-Oriented Methodology for Cost-Oriented Re-Engineering in the Packaging Sector. TE 2017: 757-765 - 2016
- [c9]Margherita Peruzzini, Marcello Pellicciari:
Models of Impact for Sustainable Manufacturing. TE 2016: 145-154 - [c8]Margherita Peruzzini, Marcello Pellicciari:
Human-Driven Design-to-Cost Methodology for Industrial Cost Optimization. TE 2016: 715-724 - 2015
- [c7]Marcello Pellicciari, A. Avotins, Kristofer Bengtsson, Giovanni Berselli
AREUS - Innovative hardware and software for sustainable industrial robotics. CASE 2015: 1325-1332 - [c6]Marcello Pellicciari, Giovanni Berselli
Increasing position accuracy and energy efficiency of servo-actuated mechanisms. CASE 2015: 1339-1344 - 2014
- [j2]Davis Meike
Energy Efficient Use of Multirobot Production Lines in the Automotive Industry: Detailed System Modeling and Optimization. IEEE Trans Autom. Sci. Eng. 11(3): 798-809 (2014) - [c5]Marcello Pellicciari
Hardware-in-the-Loop Mechatronic Virtual Prototyping of a high-speed capsule filling machine. MESA 2014: 1-6 - 2013
- [c4]Marcello Pellicciari
On designing optimal trajectories for servo-actuated mechanisms through highly detailed virtual prototypes. AIM 2013: 1780-1785 - 2012
- [j1]Alberto Vergnano
Modeling and Optimization of Energy Consumption in Cooperative Multi-Robot Systems. IEEE Trans Autom. Sci. Eng. 9(2): 423-428 (2012) - [c3]Davis Meike
Increasing the energy efficiency of multi-robot production lines in the automotive industry. CASE 2012: 700-705 - 2011
- [c2]Marcello Pellicciari
A minimal touch approach for optimizing energy efficiency in pick-and-place manipulators. ICAR 2011: 100-105 - 2010
- [c1]Alberto Vergnano
Embedding detailed robot energy optimization into high-level scheduling. CASE 2010: 386-392
Coauthor Index
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