Wan Yusoff Wan Azhar

Papers

2

Total Citations

9

H-Index

2

About

Dr. Wan Yusoff Wan Azhar is a robotics researcher specializing in intelligent control systems for autonomous mobile robots, with a particular focus on navigation in complex and restricted environments. His major contributions lie in developing hybrid control strategies that integrate robust path planning with real-time disturbance rejection, enabling wheeled mobile robots (WMRs) to operate safely and accurately in challenging settings. His most cited work (2017, 6 citations) introduces a simulation-based hybrid controller that effectively manages both known and unknown disturbances in confined spaces, while his earlier research (2015, 3 citations) established a robust algorithm for tracking pre-planned paths through intricate trajectories, such as roundabouts, using non-holonomic kinematic and dynamic models. Although his citation counts are modest, Dr. Wan Azhar’s work addresses fundamental challenges in mobile robotics—specifically, the intersection of path control, obstacle avoidance, and environmental uncertainty. His research is particularly relevant for applications in warehouse automation, search-and-rescue, and autonomous transportation, where reliable motion control in restricted or unpredictable settings is critical. Dr. Wan Azhar continues to advance the field by refining hybrid control methods that bridge theoretical robustness with practical implementation.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
An Intelligent Robust Control of Wheeled Mobile Robot in Restricted Environment
6 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1
  2. 2
    Wheeled Mobile Robot Path Control in a Complex Trajectory using HybridMethods
    3 citations · 2015

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago