Syuan-Jie Huang
Papers
2
Total Citations
18
H-Index
2
About
Syuan-Jie Huang is a researcher in intelligent robotics and automation, with a primary focus on the design and control of robotic grasping systems. Their major contributions lie in developing adaptive robotic grippers that integrate vision systems, pressure modules, and smart fuzzy controllers to achieve precise and flexible object manipulation. By employing relative coordinates instead of traditional inverse kinematics, Huang’s work reduces computational redundancy, enabling more efficient and responsive grasping. Their most cited paper, "Development of Robotic Grasping Gripper Based on Smart Fuzzy Controller" (2015), has garnered 15 citations, while a related study from 2014, which details the implementation of a pressure-module-based gripper with a smart fuzzy controller, has received 3 citations. Together, these works highlight Huang’s innovative approach to combining sensor feedback with fuzzy logic for robust, real-time control in robotic hands. This research has practical implications for industrial automation and assistive robotics, where reliable and adaptive grasping is critical. Huang’s work continues to influence the development of intelligent, sensor-driven robotic end-effectors.
Research Focus
Key Achievements
Top Papers
- 1Development of Robotic Grasping Gripper Based on Smart Fuzzy Controller15 citations · 2015
- 2