Naimul Hasan

About

Naimul Hasan is a robotics and control systems researcher whose work focuses on the stabilization, navigation, and intelligent control of autonomous mobile robots. His key research areas include nonlinear system control, state estimation, and bio-inspired optimization algorithms for robotics applications. Hasan’s foundational work on the Two-Wheel Inverted Pendulum (TWIP) system, published in 2018, addresses the challenge of controlling a highly nonlinear, unstable, and strongly coupled system—the basis for two-wheeled self-balancing robots. His 2020 paper advanced this by integrating Kalman Filter and LQG regulator techniques for enhanced stability. In his most recent 2024 work, Hasan introduces a hybrid fuzzy logic controller optimized by the Social Spider Swarm algorithm for autonomous path navigation and obstacle avoidance. With over 14 citations across his top papers, his contributions demonstrate a clear progression from foundational control theory to advanced, nature-inspired intelligent systems, marking him as an emerging voice in autonomous robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Optimal Controller Design for Two Wheel Mobile Robot

   7 citations · 2018
2. 2
   Two-Wheeled Self-Balancing Mobile Robot Using Kalman Filter and LQG Regulator

   4 citations · 2020
3. 3
   Intelligent controller design of an autonomous system using a social spider optimizer for path navigation and obstacle avoidance

   3 citations · 2024

Key Collaborators

Contact & Links