Ze Han Ang
Papers
1
Total Citations
17
H-Index
1
About
Ze Han Ang is a researcher whose work lies at the intersection of robotics, artificial intelligence, and advanced trajectory planning. His most cited paper, "Development of an Artificial Intelligent Approach in Adapting the Characteristic of Polynomial Trajectory Planning for Robot Manipulator" (2020, 17 citations), introduces a novel AI-driven method that adapts polynomial-based motion planning for robotic manipulators—a critical contribution to improving precision and efficiency in automated systems. This work bridges classical control theory with modern machine learning, offering a flexible framework for optimizing robot movements in dynamic environments. Ang’s research addresses fundamental challenges in robotics, particularly in enhancing the adaptability and performance of manipulators used in manufacturing, healthcare, and service industries. With 17 citations, his paper has already garnered attention from peers seeking to integrate intelligent algorithms into trajectory optimization. His achievements reflect a commitment to advancing autonomous systems, making him a promising voice in the field of robotics and AI. For students and researchers, Ang’s work exemplifies how artificial intelligence can transform traditional engineering approaches, paving the way for more responsive and efficient robotic applications.
Research Focus
Key Achievements
Top Papers
- 1