Jiangyuan Zhang
Papers
1
Total Citations
2
H-Index
1
About
Jiangyuan Zhang is a robotics researcher whose work centers on visual servoing and control systems for humanoid mobile manipulators. His primary contributions address critical challenges in real-time robotic vision, particularly the time-delay issues that arise from image processing and data transmission in visual servo systems. In his most cited work, "Visual servoing with time-delay compensation for humanoid mobile manipulator" (2017), Zhang proposed innovative compensation methods to mitigate the inherent latency in commercial mobile manipulators, enabling more accurate and responsive robotic control. While his citation count remains modest, his research tackles foundational problems in the intersection of computer vision and robotic manipulation—a field with growing relevance for autonomous systems. Zhang's work is particularly valuable for researchers developing practical solutions for time-sensitive robotic applications, where even small delays can significantly impact performance. His focus on overcoming hardware-imposed limitations in commercial platforms demonstrates a pragmatic approach to advancing humanoid robotics, making his findings directly applicable to real-world deployment scenarios.
Research Focus
Key Achievements
Top Papers
- 1