Aminul Haque

Papers

Total Citations

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About

Aminul Haque is a robotics researcher whose work centers on intelligent motion planning and collision avoidance for autonomous mobile robots. His most-cited paper, "Trajectory Planning and Collision Control of a Mobile Robot: A Penalty‐Based PSO Approach" (2023, 9 citations), introduces an adaptive Particle Swarm Optimization (PSO) algorithm that uses a penalty-based methodology to generate collision-free, optimal trajectories. This contribution addresses a fundamental challenge in robotics: enabling a robot to navigate dynamic environments safely and efficiently. By integrating optimization techniques with real-time control, Haque’s approach offers a practical solution for improving autonomous navigation in cluttered or unpredictable settings. His research sits at the intersection of swarm intelligence, control systems, and mobile robotics, with potential applications in warehouse logistics, service robots, and autonomous vehicles. Though early in his career, Haque’s work demonstrates a clear focus on bridging algorithmic innovation with real-world robotic performance, making his findings valuable for students and researchers working on motion planning, optimization-based control, and intelligent system design.