Tzu‐Ching Chang

Papers

Total Citations

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About

Tzu-Ching Chang’s research centers on the control and dynamics of robotic manipulation, with a particular focus on dexterous, multi-jointed finger robots. His major contribution lies in addressing the fundamental challenge of coupling between finger joint dynamics and fingertip motion during grasping tasks—a problem that constrains overall robot motion when interacting with objects. In his most cited work, "Nonlinear hybrid control design of three-joint dual finger robots" (2017), Chang proposed a novel hybrid control strategy to decouple these dynamics, enabling more stable and precise object manipulation. While his citation count is modest, this work represents a foundational step in nonlinear control for underactuated robotic hands, offering a framework that can be extended to more complex grippers and prosthetic devices. Chang’s research is particularly relevant for students and engineers working in robotic grasping, nonlinear control systems, and humanoid robotics, where the interplay between mechanical design and control remains a critical frontier. His approach highlights the importance of hybrid control methods in overcoming real-world constraints in robotic dexterity.