Yoshikatsu Date

Papers

1

Total Citations

7

H-Index

1

About

Yoshikatsu Date is a pioneering researcher in robotic camera systems and intelligent image composition, with a focus on enhancing automated program production. His most cited work, "A High-Accuracy Image Composition System Using a Mobile Robotic Camera" (2008, 7 citations), addresses the challenge of using robotic cameras beyond static, high-risk filming scenarios—such as outdoor heights or prolonged fixed shots—by enabling dynamic, high-precision image capture. Date’s major contribution lies in developing algorithms that allow mobile robotic cameras to autonomously compose shots with human-like accuracy, reducing the need for manual operation in complex environments. This work has implications for broadcasting, live events, and remote surveillance, where consistent visual quality is critical. Though his citation count is modest, his research is notable for bridging robotics and media production, offering practical solutions for industries seeking to automate visual content creation. Date’s achievements highlight his role in advancing robotic autonomy for real-world applications, making his work a valuable reference for students and researchers exploring the intersection of computer vision, robotics, and cinematography.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
A High-Accuracy Image Composition System Using a Mobile Robotic Camera
7 citations · 2008
📈 Most Prolific Year: 2008 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago