Marcello Urgo

About

Marcello Urgo is a leading researcher in advanced manufacturing and production systems, with a focus on automation, robotics, and process optimization. His work addresses critical challenges in modern industry, including the need for flexibility and robustness in the face of increasing product variety and demand variability. A key contribution is his development of a path planning algorithm for industrial processes under velocity constraints, which has found significant application in additive manufacturing, earning 51 citations. This work demonstrates his ability to bridge theoretical control with practical manufacturing needs. Urgo has also advanced the field of assembly automation, proposing a predictive-reactive approach for sequencing operations in automated assembly lines (16 citations) and a method for the robust design of reconfigurable assembly cells using 7-axis robots (4 citations). His research is particularly relevant to the automotive sector and spare parts production, where he addresses the complexities of reconfigurable systems and real-time decision-making. Through these contributions, Marcello Urgo is shaping the future of resilient, adaptive manufacturing.

Research Focus

Key Achievements

Top Papers

1. 1
   A path planning algorithm for industrial processes under velocity constraints with an application to additive manufacturing

   51 citations · 2017
2. 2
   A predictive–reactive approach for the sequencing of assembly operations in an automated assembly line

   16 citations · 2021
3. 3
   An approach for the robust design of a reconfigurable assembly cell with 7-axis robot

   4 citations · 2019

Key Collaborators

Contact & Links