Jui Yiao Su
Papers
2
Total Citations
7
H-Index
2
About
Jui Yiao Su is a researcher specializing in intelligent robotic systems, with a particular focus on adaptive gripper control and distributed automation. His work addresses the critical challenge of enabling robotic grippers to handle fragile or soft objects—a task beyond the capability of conventional on-off grippers used in simple pick-and-place operations. Su’s major contributions lie in the development of model-free intelligent fuzzy sliding mode control strategies, which allow grippers to adapt to uncertainties in object mass and material properties without requiring precise mathematical models. His most cited paper, “Distributed Control Intelligent Robotic Gripper” (2013, 4 citations), introduces an embedded distributed control architecture that enhances robustness and flexibility in grasping tasks. A related study, “Intelligent Robotic Gripper Control Strategy” (2013, 3 citations), further refines these control methods for delicate object handling. Though his citation counts are modest, Su’s work is notable for its practical approach to integrating fuzzy logic and sliding mode control into real-time robotic applications, offering a foundation for future advances in adaptive automation and human-safe robotics.
Research Focus
Key Achievements
Top Papers
- 1Distributed Control Intelligent Robotic Gripper4 citations · 2013
- 2Intelligent Robotic Gripper Control Strategy3 citations · 2013