Human-centric optimisation in manual picker-to-parts systems: a holistic energy expenditure approach.

Authors: Lucchese, Andrea¹ (AUTHOR) andrea.lucchese@poliba.it, Digiesi, Salvatore¹ (AUTHOR), Sgarbossa, Fabio² (AUTHOR)

Source: International Journal of Production Research. Apr2025, Vol. 63 Issue 7, p2507-2525. 19p.

Investigating the impact of cognitive assistive technologies on human performance and well-being: an experimental study in assembly and picking tasks.

Authors: Lucchese, Andrea¹ (AUTHOR) andrea.lucchese@poliba.it, Panagou, Sotirios² (AUTHOR), Sgarbossa, Fabio² (AUTHOR)

Source: International Journal of Production Research. Mar2025, Vol. 63 Issue 6, p2038-2057. 20p.

Subject Terms: *Performance technology, Assistive technology, Motor ability, Cognitive load, Well-being

Performance Differences in the Ageing Workforce Era: An Experimental Study with Industry 4.0 Assistive Technologies

Authors: Lucchese, Andrea, Panagou, Sotirios, Sgarbossa, Fabio

Source: In IFAC PapersOnLine 2024 58(19):724-729

T-Fire System: A Novel Integrated Fire Monitoring and Extinguishing System for Trucks

Authors: Digiesi, Salvatore ^a, Laurieri, Nicola ^b, Lucchese, Andrea ^a, Piccininno, Giovanni ^b

Source: In Procedia Computer Science 2024 232:2468-2477

Agri-food loss and waste management: Win-win strategies for edible discarded fruits and vegetables sustainable reuse

Authors: Facchini, Francesco, Silvestri, Bartolomeo, Digiesi, Salvatore, Lucchese, Andrea

Source: In Innovative Food Science and Emerging Technologies January 2023 83

A numerical assessment of the influence of Industry 4.0 technologies on the cognitive complexity of procedure-guided tasks

Authors: Lucchese, Andrea, Facchini, Francesco, Mossa, Giorgio, Mummolo, Giovanni, Sisto, Francesco Paolo

Source: International journal of simulation and process modelling. 18(2):112-123

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100162797444.0x000001&indx=1&recIds=ETOCvdc_100162797444.0x000001

Agent's Motor Performance: an Index of Difficulty-based Model

Authors: Lucchese, Andrea ^*, Mummolo, Giovanni, Digiesi, Salvatore ^*, Mummolo, Carlotta ^*

Source: In IFAC PapersOnLine 2022 55(10):347-352

Human-Centric Assistive Technologies in Manual Picking and Assembly Tasks: A Literature Review.

Authors: LUCCHESE, Andrea¹ andrea.lucchese@poliba.it, MUMMOLO, Giovanni²

Source: Management & Production Engineering Review (MPER). Jun2024, Vol. 15 Issue 2, p73-88. 16p.

Subject Terms: *Performance technology, *Industry 4.0, *Labor supply

Analytical-stochastic model of motor difficulty for three-dimensional manipulation tasks.

Authors: Lucchese, Andrea¹ (AUTHOR) andrea.lucchese@poliba.it, Digiesi, Salvatore¹ (AUTHOR), Mummolo, Carlotta¹ (AUTHOR)

Source: PLoS ONE. 10/19/2022, Vol. 17 Issue 10, p1-20. 20p.

Subject Terms: *MOTORS, *HUMAN locomotion, *TASKS

An Agent-Specific Stochastic Model of Generalized Reaching Task Difficulty.

Authors: Lucchese, Andrea¹, andrea.lucchese@poliba.it, Digiesi, Salvatore¹, salvatore.digiesi@poliba.it, Akbaş, Kübra², ka497@njit.edu, Mummolo, Carlotta², cmummolo@njit.edu, Voloshin, Arkady

Source: Applied Sciences (2076-3417); May2021, Vol. 11 Issue 10, p4330, 15p

A 'Speed—Difficulty—Accuracy' Model Following a General Trajectory Motor Task with Spatial Constraints: An Information-Based Model.

Authors: Digiesi, Salvatore¹, andrea.lucchese@poliba.itsalvatore.digiesi@poliba.it, Lucchese, Andrea¹, Mummolo, Carlotta², cmummolo@njit.edu

Source: Applied Sciences (2076-3417); Nov2020, Vol. 10 Issue 21, p7516, 11p

Human Cognitive and Motor Abilities in the Aging Workforce: An Information-Based Model.

Authors: Digiesi, Salvatore¹, daniela.cavallo@poliba.itsalvatore.digiesi@poliba.it, Cavallo, Daniela¹, andrea.lucchese@poliba.it, Lucchese, Andrea¹, Mummolo, Carlotta², cmummolo@njit.edu

Source: Applied Sciences (2076-3417); Sep2020, Vol. 10 Issue 17, p5958, 21p

A Door-to-Door Waste Collection System Case Study: A Survey on its Sustainability and Effectiveness.

Authors: Laurieri, Nicola, Lucchese, Andrea, Marino, Antonella, Digiesi, Salvatore

Source: Sustainability (2071-1050); Jul2020, Vol. 12 Issue 14, p5520, 1p