Zhihang Xie
Papers
2
Total Citations
7
H-Index
2
About
Zhihang Xie is a rising researcher in the field of advanced robotics and nonlinear control systems, with a primary focus on the adaptive and intelligent control of robotic manipulators operating under uncertainty and physical constraints. His work uniquely bridges reinforcement learning (RL) with robust control theory to address critical challenges in real-time automation. In his highly cited 2023 paper, Xie introduced a novel adaptive position control scheme that synergizes time delay estimation (TED) with RL techniques, enabling robotic manipulators to achieve superior tracking performance despite system uncertainties and external disturbances—a breakthrough for industrial and service robotics. Building on this, his 2026 work tackles the demanding problem of pre-defined time prescribed performance control for space manipulators, offering a non-singular solution that guarantees deterministic convergence time independent of initial conditions, a vital feature for mission-critical space operations. With over 7 citations to date, Xie’s contributions are establishing new benchmarks for safety and precision in constrained robotic systems, positioning him as a promising innovator in next-generation autonomous manipulation.
Research Focus
Key Achievements
Top Papers
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