Jun-Wei Chang

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About

Dr. Jun-Wei Chang is a roboticist whose work bridges computer vision, fuzzy control, and humanoid robotics. His research focuses on enabling robots to perceive and interact with their environments with greater autonomy and stability. A key contribution is the development of an object-grasping robot arm that integrates stereo vision measurement with fuzzy control, a system that allows a robot to locate and securely grasp objects in three-dimensional space. This work, published in 2015 and cited 20 times, demonstrates a practical fusion of sensing and intelligent control. Dr. Chang has also made significant strides in humanoid robot locomotion, particularly in real-time robust balance control. His 2016 study, cited 6 times, addresses a critical challenge in the field: maintaining stability under dynamic disturbances. Specifically, his fuzzy control system enables a humanoid robot to resist an external thrust and maintain its balance on an inclinable platform or a see-saw. By tackling these real-world perturbations, Dr. Chang’s research advances the reliability of bipedal robots, moving them closer to practical deployment in unstructured human environments.