Jiwei Wen

Papers

Total Citations

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About

Jiwei Wen is a researcher advancing the frontier of underactuated robotic systems, with a primary focus on modeling, control, and trajectory tracking for novel flexible manipulators. His most cited work, "Trajectory tracking control of underactuated tendon‑driven truss‑like manipulator based on type‑1 and interval type‑2 fuzzy logic approach" (2021, 9 citations), introduces a groundbreaking planar underactuated tendon-driven truss-like manipulator (UTTM). Wen’s key contribution lies in applying both type-1 and interval type-2 fuzzy logic control methods to solve the complex trajectory tracking problem for this innovative, lightweight robot. By demonstrating that interval type-2 fuzzy controllers can better handle the system’s inherent uncertainties and nonlinearities, his work provides a practical pathway for controlling underactuated robots with fewer actuators, enhancing their efficiency and adaptability. This research has significant implications for applications in aerospace, medical robotics, and industrial automation, where lightweight and dexterous manipulation is critical. Wen’s achievements establish him as a notable contributor to the fields of fuzzy control and underactuated robotics, offering valuable insights for students and researchers exploring intelligent control strategies for next-generation robotic systems.