Wei Han Chang

National Taiwan University of Science and Technology

Papers

Total Citations

H-Index

About

Wei Han Chang is a robotics researcher specializing in intelligent grasping and distributed control systems for robotic manipulation. Their work focuses on developing adaptive gripper technologies capable of handling fragile and soft objects—a critical challenge in automation. Chang's major contributions include designing an intelligent robotic gripper with an embedded distributed control architecture that overcomes uncertainties in object mass and material properties. By employing a model-free intelligent fuzzy sliding mode control strategy, they created position and force controllers that enable precise, gentle handling of delicate items. Their most-cited paper, "Distributed Control Intelligent Robotic Gripper" (2013, 4 citations), and its companion study, "Intelligent Robotic Gripper Control Strategy" (2013, 3 citations), establish foundational approaches for moving beyond traditional on-off grippers in pick-and-place operations. While citation counts are modest, these works represent early, targeted contributions to adaptive grasping—a growing field in industrial and service robotics. Chang's research is particularly notable for addressing the practical limitations of conventional grippers in handling soft or fragile objects, offering a pathway toward safer, more versatile robotic manipulation in manufacturing and healthcare applications.