Takahiro Nakano

Tokyo Metropolitan University, Hitachi (Japan)

Papers

3

Total Citations

11

H-Index

2

About

Takahiro Nakano is a robotics and manufacturing systems researcher whose work bridges biomimetic flight and industrial automation. His primary research areas include flapping-wing robotics, production line optimization, and robotic welding automation. Nakano’s most notable contribution is the development of a self-takeoff mechanism for flapping robots, where he demonstrated that adjusting the initial pitch angle enables autonomous takeoff without external assistance—a critical step toward practical ornithopter designs. This work, published in 2019, has garnered 5 citations and addresses a fundamental challenge in bio-inspired robotics. In manufacturing, Nakano has made significant strides in production efficiency. His 2021 paper on manufacturing line design introduced a meta-heuristic algorithm for optimizing resource group configurations, enabling rapid reconfiguration of factories to handle product variety changes. More recently, his 2024 work on welding sequence and robot path optimization tackles the skilled labor shortage by automating spot welding processes to prevent sheet metal deformation. With a total of 11 citations across his most-cited papers, Nakano’s research demonstrates a unique ability to apply optimization techniques across vastly different domains—from insect-inspired flight to factory floor automation—making him a versatile contributor to both robotics and industrial engineering.

Research Focus

Key Achievements

2
H-Index
3
Papers
11
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Study on Self-Takeoff of a Flapping Robot without Running: Influence of the Initial Pitch Angle on the Takeoff Trajectory
5 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Tokyo Metropolitan University, Hitachi (Japan)

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago