Noorulden Basil

About

Noorulden Basil is a robotics and control systems researcher whose work focuses on the optimization and intelligent control of robotic platforms, including parallel robots, mobile robots, and industrial conveyor systems. His major contributions lie in the development of advanced control strategies, such as Fractional Order Proportional-Integral-Derivative (FOPID) controllers enhanced with fuzzy logic and metaheuristic optimization algorithms like the Social Spider Optimization and Jaya Optimization algorithms. Notably, his 2021 paper on implementing a parallel robot with a FOPID and fuzzy type-2 controller, though later retracted, has garnered 42 citations, reflecting initial high interest. His 2024 work on Robotic Arm-based Conveyor Belts (RACBs) using a NARMA(L2)-FO(ANFIS)PD-I controller optimized by the Jaya algorithm has received 28 citations, highlighting the industrial relevance of his research. Most recently, his 2025 study on an accelerated black hole optimization algorithm for omni-wheel drive mobile robots has already earned 9 citations. Basil’s research is characterized by the innovative fusion of nature-inspired optimization with robust control theory, aiming to improve the precision, adaptability, and efficiency of autonomous robotic systems in industrial and mobile applications.

Research Focus

Key Achievements

Top Papers

1. 1
   RETRACTED ARTICLE: Implementation of the parallel robot using FOPID with fuzzy type-2 in use social spider optimization algorithm

   42 citations · 2021
2. 2
   Selection and Evaluation of Robotic Arm based Conveyor Belts (RACBs) Motions: NARMA(L2)-FO(ANFIS)PD-I based Jaya Optimization Algorithm

   28 citations · 2024
3. 3
   Accelerated black hole optimization algorithm with enhanced FOPID controller for omni-wheel drive mobile robot system

   9 citations · 2025

Key Collaborators

Contact & Links