Nor Badrul Anuar
Papers
2
Total Citations
51
H-Index
2
About
Dr. Nor Badrul Anuar is a researcher whose work has centered on the intersection of robotics, adaptive control systems, and artificial intelligence, with a particular focus on compliant robotic grippers and neuro-fuzzy control methodologies. His major contributions include pioneering the application of input displacement neuro-fuzzy control for object recognition and adaptive grasping, as well as employing support vector regression to predict the behavior of compliant robotic grippers. These studies, published in 2014 and 2015, have garnered 21 and 30 citations respectively, reflecting their influence in the field of robotic manipulation. Despite the retraction of these specific papers, Dr. Anuar’s early work highlighted critical challenges in adaptive robotics and soft gripper design, contributing to ongoing discussions about machine learning integration in mechanical systems. His research has implications for industrial automation, prosthetics, and human-robot interaction, where adaptive, compliant grasping remains a key area of innovation. Dr. Anuar’s efforts underscore the importance of robust validation in AI-driven robotics, and his publications continue to be referenced by scholars exploring predictive modeling and control in robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2