Hasanen S. Abdullah
Papers
1
Total Citations
2
H-Index
1
About
Hasanen S. Abdullah is a researcher specializing in robotics, path planning, and optimization algorithms, with a particular focus on dynamic environments. His major contribution lies in advancing obstacle avoidance techniques through bio-inspired computing, most notably in his work on improving the MAX–MIN Ant System (MMAS) algorithm. In his 2023 paper, Abdullah proposed a novel two-stage method that optimizes robotic navigation by identifying wide free space paths in dynamic settings, enhancing both safety and efficiency. This work, which has garnered 2 citations, addresses critical challenges in real-time robotic movement and demonstrates his ability to refine classical algorithms for practical applications. Abdullah’s research bridges theoretical optimization and applied robotics, offering solutions for autonomous systems operating in unpredictable surroundings. His contributions are valuable for students and researchers interested in swarm intelligence, path planning, and adaptive robotics, highlighting his role in pushing the boundaries of autonomous navigation in complex, changing environments.
Research Focus
Key Achievements
Top Papers
- 1