Jiandong Tian

Shenyang Institute of Automation

Papers

1

Total Citations

3

H-Index

1

About

Jiandong Tian is a researcher whose work sits at the intersection of computer vision, robotics, and intelligent systems. His most recognized contribution focuses on the development of efficient visual perception methods for autonomous robotic applications, particularly within the domain of table tennis robotics. In his notable 2009 paper, "Fast Ball Detection Method for Ping-Pong Playing Robots," Tian addressed a critical challenge in robotic vision systems: the real-time, accurate detection of fast-moving objects in dynamic environments. By proposing an optimized searching region informed by table geometry and predictive ball positioning, his method demonstrated a practical and computationally efficient approach to object tracking — a problem with broad implications beyond recreational robotics, extending into sports analytics, high-speed automation, and human-robot interaction. While his citation record reflects an emerging body of work, his research contributes meaningful groundwork to the growing field of vision-guided robotic systems. For students and researchers exploring real-time object detection, motion prediction, and robotics perception pipelines, Tian's work offers an accessible yet technically grounded entry point into solving complex spatial reasoning problems in constrained, fast-paced environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Fast Ball Detection Method for Ping-Pong Playing Robots
3 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Shenyang Institute of Automation

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago