J. Shinoda

Meiji University

Papers

2

Total Citations

9

H-Index

2

About

J. Shinoda is a pioneering researcher at the intersection of robotics, origami engineering, and neural control systems. Their work focuses on solving the fundamental challenges of modeling and manipulating flexible materials—specifically paper—for robotic applications. Shinoda’s major contribution lies in developing novel control architectures for paper-folding robots, most notably through the integration of holographic neural networks to govern the precise, rapid movements required for origami tasks. This approach addresses the long-standing difficulty of controlling deformable materials in automation. In parallel, Shinoda introduced the concept of “Norigami,” a hybrid technique that combines traditional origami folding with adhesive bonding (“Nori” meaning glue in Japanese) to create complex, stable 3D structures from flat sheets. This innovation bridges the gap between pure folding and assembly, expanding the design space for deployable structures. While their most-cited works—on brain models for robotic origami arms (5 citations) and Norigami folding machines (4 citations)—represent early-stage but foundational contributions, Shinoda’s ideas are gaining traction in soft robotics and reconfigurable manufacturing. Their work is particularly notable for merging computational intelligence with material science, offering a new paradigm for creating adaptive, origami-inspired machines.

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 · 14 days ago