Xiaojiang Zhang
Papers
1
Total Citations
2
H-Index
1
About
Xiaojiang Zhang is a robotics researcher whose work centers on advancing force control and impedance control strategies for robotic systems operating under uncertainty. His most-cited paper, "Discontinuous force-based robot adaptive switching update rate impedance control" (2021), addresses critical challenges in robot force control, including system modeling uncertainties, unknown environmental parameters, nonlinear time lags, and external disturbances. Zhang's key contribution lies in developing an adaptive switching update rate impedance control method that effectively suppresses transient force overshoot—a persistent problem in classic force control schemes like hybrid force/position control and standard impedance control. While his citation count (2 for this paper) is modest, his work targets fundamental stability and performance issues in robotic manipulation, particularly for applications requiring precise force regulation in uncertain or dynamic environments. Zhang's research is notable for its focus on practical robustness, offering a framework that adapts control parameters in real-time to maintain stability and accuracy. This work contributes to the broader field of robot-environment interaction, with potential implications for industrial automation, collaborative robotics, and assistive technologies where safe and reliable force control is paramount.
Research Focus
Key Achievements
Top Papers
- 1