Muhammad Bashir
Papers
1
Total Citations
53
H-Index
1
About
Muhammad Bashir is a robotics and computational intelligence researcher whose work focuses on advancing autonomous navigation and optimization algorithms. His primary research areas include mobile robot path planning, swarm intelligence, and metaheuristic optimization methods. Bashir’s most notable contribution is his work on improving particle swarm optimization (PSO) for real-world robotic applications. In his highly cited 2020 paper, “An Improved Method of Particle Swarm Optimization for Path Planning of Mobile Robot,” which has garnered 53 citations, he addressed critical limitations of standard PSO—namely slow convergence and restricted applicability—by proposing a refined integration scheme that incorporates uniform distribution strategies. This innovation significantly enhances the efficiency and reliability of path planning in dynamic environments, offering a practical solution for autonomous systems. Bashir’s research bridges the gap between theoretical optimization and applied robotics, making his work valuable for students and engineers developing intelligent mobile robots. His contributions continue to influence the design of more adaptive and computationally efficient navigation algorithms in the field.
Research Focus
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Top Papers
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