Jen-Hsiang Chou

National Taipei University of Technology

Papers

Total Citations

H-Index

About

Jen-Hsiang Chou is a robotics researcher whose work focuses on the intersection of path planning, kinematic analysis, and autonomous systems. His primary research areas include motion planning for unmanned vehicles, obstacle avoidance algorithms, and the dynamic modeling of aerial robotic manipulators. Chou’s major contribution lies in developing a novel path planning method using Hierarchical Four Parameter Logistic Curves, which enables continuous-curvature avoidance for robots operating in smart factory environments—a critical advancement for ensuring smooth, collision-free navigation in industrial settings. His work on quadrotors equipped with two-degree-of-freedom robotic arms addresses the computational challenges of complex kinematic systems, moving beyond classical approaches to solve nonlinear algebraic equations more efficiently. Though his most-cited papers have garnered a modest number of citations (3 and 2 respectively), they represent foundational steps in applying computational kinematic methods to real-world robotics problems. Chou’s research is particularly notable for its practical orientation toward smart manufacturing and autonomous aerial manipulation, making his contributions valuable for students and researchers interested in the intersection of robotics, control systems, and industrial automation.