Sihang Zhang
Papers
1
Total Citations
5
H-Index
1
About
Sihang Zhang is a researcher in robotics and control systems, with a focus on adaptive control strategies for uncertain robotic environments. His work addresses critical challenges in robot manipulation, particularly where systems face unknown dynamics such as dead-zone inputs—nonlinearities that can degrade performance in real-world applications. Zhang’s most-cited paper, "Adaptive IBVS and Force Control for Uncertain Robotic System with Unknown Dead-zone Inputs" (2021), proposes an integrated approach combining image-based visual servoing (IBVS) with force control, enabling robots to adapt to both visual and physical uncertainties simultaneously. This contribution is significant for tasks requiring precise interaction with unstructured environments, such as assembly or medical robotics. While his citation count is still growing, Zhang’s work is notable for its practical relevance in bridging theoretical adaptive control with real-world robotic challenges. His research is particularly valuable for students and engineers seeking robust solutions for systems with incomplete model knowledge, offering a foundation for further exploration in adaptive robotics and nonlinear control.
Research Focus
Key Achievements
Top Papers
- 1