Papers

2

Total Citations

6

H-Index

2

About

Tongtong Zhang’s research centers on robotics, computer vision, and embedded systems, with a focus on enhancing machine perception and manipulation. Her major contributions include developing a hand-eye 3D pose estimation method for a drawing robot, which enables precise end-effector positioning relative to a world frame—a critical advancement for visual servoing in robotic art and manufacturing. This work, cited 4 times, demonstrates her ability to solve practical challenges in robot-environment interaction. She also advanced embedded depth sensing with an efficient, FPGA-based implementation of a time-of-flight ranging system, achieving fast, real-time distance measurement for compact applications. Though her citation counts are modest, her research addresses foundational problems in automation and sensor integration, with potential impacts on industrial robotics and autonomous systems. Zhang’s work reflects a commitment to bridging theoretical algorithms with hardware-efficient solutions, making her a notable contributor to the fields of robotic perception and embedded vision.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Hand-eye 3D pose estimation for a drawing robot
4 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Beijing Institute of Technology, Harbin Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago