Mohd Khairol Anuar Mohd Ariffin
Papers
6
Total Citations
97
H-Index
5
About
Dr. Mohd Khairol Anuar Mohd Ariffin is a leading researcher in robotics and intelligent manufacturing, whose work bridges foundational motion planning with cutting-edge applications in agriculture and industry. His highly cited 2012 review on robot motion planning approaches (36 citations) established a comprehensive taxonomy of over 100 methods, becoming a key reference for autonomous navigation. He advanced this field by developing artificial neural network models to predict robot manipulator motion from unknown trajectories (26 citations), solving complex kinematic and dynamic calculations that previously required full system knowledge. Dr. Ariffin has also made significant contributions to sustainable manufacturing through parametric optimization of robot-based single point incremental forming using the Taguchi method (14 citations), enabling faster, more personalized sheet metal production. His recent pioneering work addresses global food security, introducing an improved Grey Wolf Optimizer algorithm for multi-robot path planning in complex vertical farms (9 citations). He further advanced collaborative robotics with an NSGA-III algorithm for task allocation in IoT environments (7 citations). With additional work in wireless robotic hand control and monitoring, Dr. Ariffin’s research consistently demonstrates how intelligent robotics can solve real-world challenges from factory floors to farms.
Research Focus
Key Achievements
Top Papers
- 1A review on robot motion planning approaches36 citations · 2012
- 2
- 3
- 4
- 5
- 6