Fernando Ubis
Papers
2
Total Citations
28
H-Index
2
About
Fernando Ubis is a leading researcher at the intersection of advanced manufacturing and human-robot collaboration. His primary research areas include Augmented Reality (AR) for industrial applications, scalable production systems, and modular robotics. Ubis’s most influential work, “AR-Enhanced Human-Robot-Interaction” (2016, 25 citations), demonstrates how AR can revolutionize training, programming, and maintenance in robotics, moving these activities beyond physical training facilities to more flexible, digital environments. This foundational contribution has shaped how industries approach human-robot interfaces. More recently, Ubis has tackled a critical industrial challenge through the ODIN project (2022), addressing the high integration complexity that prevents small and medium enterprises from adopting robotic automation. His work on open-digital-industrial pilot lines and modular components aims to democratize robotics for lower-volume, diverse production settings. By bridging the gap between cutting-edge AR interaction and practical, scalable manufacturing, Ubis is helping to define the future of flexible, human-centric automation, making him a key voice in Industry 4.0 and 5.0 research.
Research Focus
Key Achievements
Top Papers
- 1AR-Enhanced Human-Robot-Interaction - Methodologies, Algorithms, Tools25 citations · 2016
- 2