Haojie Xie
Papers
1
Total Citations
2
H-Index
1
About
Haojie Xie is a robotics researcher specializing in adaptive control systems and visual servoing for robot manipulators. His work addresses the critical challenge of enabling precise robotic manipulation in environments where camera calibration is impractical or impossible. In his most-cited paper, "Adaptive event-triggered control for uncalibrated visual servoing of robot manipulators" (2023), Xie introduced a novel control framework that reduces computational and communication overhead by triggering control actions only when necessary, rather than continuously. This approach enhances efficiency and robustness in real-time robotic applications, such as assembly and inspection tasks. While his citation count is still growing—with 2 citations to date—his contributions are foundational for researchers exploring event-triggered strategies in uncalibrated visual servoing. Xie’s work bridges theoretical control theory and practical robotics, offering a pathway toward more autonomous and adaptive robotic systems. His research is particularly relevant for students and engineers working on sensor-limited or resource-constrained robotic platforms, where traditional calibration methods fail.
Research Focus
Key Achievements
Top Papers
- 1