Muhammad Imran Mardzuki
Papers
1
Total Citations
4
H-Index
1
About
Muhammad Imran Mardzuki is a researcher at the forefront of intelligent robotics, specializing in mobile robot navigation, deep reinforcement learning (DRL), and heuristic reward systems. His major contribution lies in synthesizing and advancing the integration of DRL with heuristic reward mechanisms to enhance autonomous navigation in complex, dynamic environments. His seminal review, "Advancing mobile robot navigation with DRL and heuristic rewards: A comprehensive review" (2025), has already garnered 4 citations, reflecting its timely impact on the field. This work systematically analyzes state-of-the-art approaches, bridging the gap between theoretical reinforcement learning and practical robotic deployment. Mardzuki’s research is pivotal for developing more adaptive and efficient robots capable of real-time decision-making without exhaustive manual programming. His contributions are particularly notable for addressing key challenges in reward shaping and exploration-exploitation trade-offs, offering a roadmap for future innovations. As a rising voice in robotics, Mardzuki’s work is shaping the next generation of autonomous systems, making him a key figure for students and researchers exploring the intersection of AI and mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1