Luis Diago

Meiji University

Papers

2

Total Citations

9

H-Index

2

About

Luis Diago is a pioneering researcher at the intersection of robotics, origami engineering, and neural control systems. His work focuses on developing novel approaches to robotic manipulation, particularly for paper-folding machines, where he addresses the fundamental challenges of modeling and controlling flexible materials. Diago’s major contributions include the creation of “Norigami,” a hybrid technique that combines glue and folding to produce complex 3D shapes from flat sheets—a concept that bridges traditional origami with modern manufacturing. His most cited paper, “Evaluation of Brain Models to Control a Robotic Origami Arm Using Holographic Neural Networks” (2015, 5 citations), introduces an innovative framework for achieving precise, fast movements in robotic arms by leveraging holographic neural networks, tackling the notoriously difficult task of paper manipulation. This work has laid the groundwork for more adaptive and intelligent robotic systems in soft robotics and automated assembly. With a total of 9 citations across his top papers, Diago’s research is gaining traction for its potential to revolutionize how we design and control flexible, origami-inspired robots. His achievements highlight a unique blend of computational intelligence and mechanical ingenuity, making him a notable figure in the emerging field of robotic origami.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation of Brain Models to Control a Robotic Origami Arm Using Holographic Neural Networks
5 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Meiji University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago