Noraziah Adzhar
Papers
3
Total Citations
124
H-Index
3
About
Noraziah Adzhar is a robotics and autonomous systems researcher whose work centers on mobile robot navigation, path planning, and obstacle avoidance. Her scholarship addresses one of the most pressing challenges in modern robotics: enabling autonomous mobile robots to navigate complex, real-world environments efficiently and safely. Through a series of influential review papers, she has systematically mapped the landscape of path planning algorithms and optimization criteria, providing the research community with comprehensive frameworks for understanding and advancing robot navigation techniques. Her most cited work, "A Review on Path Planning and Obstacle Avoidance Algorithms for Autonomous Mobile Robots" (2022), has accumulated 82 citations, reflecting its value as a foundational reference for researchers and engineers working across industrial automation, agriculture, and human-assistive robotics. Her 2020 review on autonomous mobile robot path planning algorithms, with 27 citations, further established her as a trusted synthesizer of knowledge in this rapidly evolving field. Her 2021 overview on optimization criteria added nuance by emphasizing path safety, smoothness, and execution efficiency. Adzhar's contributions are particularly valuable for students and practitioners seeking structured entry points into mobile robotics research, making her an important voice in shaping the direction of intelligent autonomous systems development.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Review on Autonomous Mobile Robot Path Planning Algorithms27 citations · 2020
- 3
Key Collaborators
Related papers
- A Review on Autonomous Mobile Robot Path Planning Algorithms
- A Review on Path Planning and Obstacle Avoidance Algorithms for Autonomous Mobile Robots
- An overview: on path planning optimization criteria and mobile robot navigation
- A Comprehensive Review of Path Planning Techniques for Mobile Robot Navigation in Known and Unknown Environments
- A review of methodologies for path planning and optimization of mobile robots
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