Aitor Moreno

About

Aitor Moreno is a leading researcher at the intersection of Visual Computing and smart manufacturing, whose work has been pivotal in shaping the human-centric vision of Industry 4.0. His research focuses on integrating computer graphics, physically-based simulation, and interactive interfaces to create flexible, non-disruptive solutions for the factory floor. Moreno’s most influential work, a 2019 paper on sustainable and flexible Human Machine Interfaces (132 citations), provides a foundational framework for adaptable applications in the modern industrial landscape. He is also recognized for his pioneering contributions to Digital Twin technology, notably through the virtualisation of physical machinery—such as his highly cited 2016 work on a sheet metal punching machine (116 citations)—and for extending Digital Twins with optical object tracking. By bridging the gap between virtual models and physical systems, Moreno’s research empowers the Operator 4.0, enabling more intuitive, efficient, and safer human-machine collaboration. His work remains essential reading for anyone exploring the role of visual computing in the future of manufacturing.

Research Focus

Key Achievements

Top Papers

1. 1
   Sustainable and flexible industrial human machine interfaces to support adaptable applications in the Industry 4.0 paradigm

   132 citations · 2019
2. 2
   Virtualisation process of a sheet metal punching machine within the Industry 4.0 vision

   116 citations · 2016
3. 3
   Computer graphics and visual computing use cases for Industry 4.0 and Operator 4.0

   25 citations · 2021
4. 4
   Extending Industrial Digital Twins with Optical Object Tracking

   9 citations · 2017

Key Collaborators

Contact & Links