Md. Ehtesham Hasan
Papers
5
Total Citations
83
H-Index
5
About
Md. Ehtesham Hasan is a robotics researcher whose work lies at the intersection of intelligent navigation, control systems, and autonomous mobile robots. His primary contributions focus on developing bio-inspired and optimization-driven algorithms for wheeled robots operating in cluttered environments. Hasan’s most impactful work, “V-REP-based navigation of automated wheeled robot between obstacles using PSO-tuned feedforward neural network” (50 citations), demonstrates his expertise in combining particle swarm optimization with neural networks to achieve precise, obstacle-free path planning. He has extended this approach to multi-objective genetic algorithms for velocity control and generalized regression neural networks for motion planning, as seen in his studies on Pioneer P3-DX and E-Puck robots. Beyond simulation, Hasan has contributed to practical, socially relevant designs, including a novel six-wheel rocker-bogie robot and a solar-powered floor cleaning robot for wet and dry surfaces. His work consistently bridges the gap between theoretical optimization and real-world robotic applications, making him a notable figure in the field of autonomous navigation and mechatronic design.
Research Focus
Key Achievements
Top Papers
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- 2New Concept-Based Six-Wheels Rocker-Bogie Robot: Design and analysis10 citations · 2022
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