Higinio Mora
Papers
6
Total Citations
174
H-Index
6
About
Higinio Mora is a leading researcher at the intersection of robotics, virtual reality, and intelligent manufacturing, with a focus on human-centered automation. His work spans immersive educational tools, advanced 3D registration algorithms, and the emerging paradigm of Industry 5.0. Mora’s most cited contribution, a low-cost immersive virtual reality system for teaching robotic manipulators programming (95 citations), demonstrates his commitment to making complex engineering concepts accessible through practical, affordable simulation. He has also made significant technical contributions to computer vision, including a computational analysis of distance operators for the Iterative Closest Point algorithm (35 citations) and the development of μ-MAR, a multiplane 3D marker-based registration method for depth-sensing cameras. More recently, Mora has been at the forefront of Industry 5.0 research, exploring how federated learning and human-robot collaboration can create adaptive, human-centric industrial environments. His 2024 work on federated adaptive-robot learning and a state-of-the-art review of federated learning for Industry 5.0 highlight his vision for a future where AI and robotics enhance, rather than replace, human workers. With a career blending technical rigor and pedagogical innovation, Mora’s research is shaping the next generation of smart, collaborative systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3μ-MAR: Multiplane 3D Marker based Registration for depth-sensing cameras16 citations · 2015
- 4Industry 5.0: Towards Human Centered Design in Human Machine Interaction12 citations · 2024
- 5
- 6Federated Learning for Industry 5.0: A State-of-the-Art Review7 citations · 2023