Seigen Hane

Tokyo University of Science

Papers

2

Total Citations

8

H-Index

2

About

Seigen Hane’s research centers on the development of safe, realistic virtual environments for testing robot control programs, with a particular focus on vision-based robotics. His major contributions include pioneering methods to expand the measurement range of 3D point cloud data by linking multiple Kinect v2 sensors, enabling more accurate reproduction of color and shape information in robot simulators. This work directly addresses the high risks of real-machine testing, such as robot breakdowns or accidents, by allowing software development to occur in visually faithful virtual spaces. His 2015 paper on this topic has garnered 5 citations, while his earlier 2009 work on visually realistic environments for safety development has 3 citations. Though his citation counts are modest, Hane’s research is foundational for researchers seeking to bridge the gap between simulation and reality in robotics, particularly in safety-critical applications. His efforts highlight a commitment to reducing the dangers of physical robot testing, making his work notable for students and engineers focused on reliable, risk-averse robot software development.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
3D Point Cloud-Based Virtual Environment for Safe Testing of Robot Control Programs: Measurement Range Expansion through Linking of Multiple Kinect v2 Sensors
5 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Tokyo University of Science

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago