Azhar Mohd Ibrahim
Papers
7
Total Citations
70
H-Index
5
About
Azhar Mohd Ibrahim is a leading researcher in autonomous mobile robotics, with a primary focus on intelligent navigation, obstacle avoidance, and human-robot interaction in complex environments. His work bridges classical control theory with modern self-learning approaches, particularly deep reinforcement learning (DRL) and fuzzy logic systems. Ibrahim's major contributions include the development of the Fuzzy Logic Controller-Optimal Reciprocal Collision Avoidance (FLC-ORCA) framework, which enhances real-time obstacle avoidance for robotic navigation aids, and pioneering work on improving DRL training convergence through heuristic reward shaping. His comprehensive review on mobile robot navigation algorithms (2024) has already garnered 19 citations, while his influential review on intelligent robot-assisted evacuation (2020) has accumulated 17 citations, highlighting his impact on safety-critical applications. Ibrahim has also contributed to smart object identification for robotic surveillance and two-wheel balancing robot control, demonstrating versatility across robotic platforms. With a growing citation record and recent publications extending into 2025, his research continues to push the boundaries of autonomous navigation, aiming to create more adaptive, efficient, and safer robotic systems for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2Intelligent robot-assisted evacuation: A review17 citations · 2020
- 3
- 4Smart Objects Identification System for Robotic Surveillance9 citations · 2014
- 5Two-wheel balancing robot; review on control methods and experiments6 citations · 2019
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- 7