Cheng-Tieng Hsieh
Papers
1
Total Citations
4
H-Index
1
About
Cheng-Tieng Hsieh is a robotics researcher whose work centers on motion planning and control for hyper-redundant manipulators—robotic arms with many degrees of freedom that can navigate complex, constrained environments. His most cited paper, "A Path Planning Algorithm Using Generalized Potential Model for Hyper-Redundant Robots with 2-DOF Joints" (2011, 4 citations), makes a key contribution by extending potential field-based path planning from the simpler 3-DOF joint case to the more challenging 2-DOF joint configuration. This is significant because 2-DOF joints are more common in practical robot designs, yet they introduce additional complexity in minimizing potential energy during motion. Hsieh’s algorithm provides a systematic way to guide such robots through obstacles, advancing the theoretical foundation for serpentine or snake-like robots used in search-and-rescue, medical surgery, and industrial inspection. Though his citation count is modest, his work addresses a fundamental gap in hyper-redundant robot control, offering a practical solution that bridges theory and real-world application. For students and researchers in robotics, Hsieh’s research highlights the importance of adapting algorithms to realistic joint constraints—a crucial step toward making highly articulated robots more autonomous and reliable.
Research Focus
Key Achievements
Top Papers
- 1