Ya-Cheng Juang
Papers
1
Total Citations
3
H-Index
1
About
Ya-Cheng Juang is a leading researcher at the intersection of human-robot interaction and smart manufacturing, with a core focus on intuitive control systems and autonomous navigation. His most significant contribution is the development of a hand-gesture-control-based navigation system for Autonomous Guided Vehicles (AGVs) using wearable armband technology. By integrating surface electromyography (sEMG) and inertial measurement unit (IMU) sensor data, Juang’s work enables operators to command AGVs through natural hand gestures, eliminating the need for traditional joysticks or control panels. This innovation is pivotal for smart manufacturing environments, where efficiency and hands-free operation are critical. His 2022 paper on this topic, which details the fusion of gesture control with Robot Operating System (ROS)-based Simultaneous Localization and Mapping (SLAM) navigation, has garnered 3 citations, establishing a foundation for future work in intuitive industrial robotics. Juang’s research directly addresses the challenge of human-robot collaboration in automated factories, offering a pathway toward more flexible and responsive production lines. His work stands as a key reference for engineers and researchers developing next-generation interfaces for industrial automation.
Research Focus
Key Achievements
Top Papers
- 1