Hasan Mujtaba Research Scholar
Papers
1
Total Citations
2
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1
About
Hasan Mujtaba is a research scholar whose work focuses on the intersection of autonomous robotics and multi-objective optimization. His primary research areas include mobile robot path planning, heuristic algorithms, and intelligent navigation systems. His most-cited paper, "Path Planning of An Autonomous Mobile Robot With Multiobjective Functions" (2019, 2 citations), addresses a critical challenge in robotics: achieving accurate path planning in indoor environments. In this work, Mujtaba systematically evaluates and compares foundational algorithms—including A*, D*, and Dijkstra's—to determine their effectiveness under real-world mapping constraints. By analyzing how these heuristic and deterministic methodologies perform in limited indoor spaces, he provides valuable insights for improving autonomous navigation accuracy. Though early in his career, his contributions lay essential groundwork for developing more reliable mobile robots capable of balancing competing objectives like path length, safety, and computational efficiency. His research holds particular relevance for applications in warehouse automation, service robotics, and intelligent transportation systems. As a dedicated scholar, Mujtaba continues to explore how algorithmic innovations can enhance robotic autonomy in complex, constrained environments.
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Top Papers
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