Md. Yusof Zulkifli

Papers

Total Citations

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About

Md. Yusof Zulkifli is a robotics researcher specializing in intelligent control systems for autonomous mobile robots. His work focuses on developing robust control strategies that enable wheeled mobile robots (WMRs) to navigate safely and efficiently in complex, restricted environments. His most cited paper (2017, 6 citations) presents a hybrid control approach that combines path planning with robust controllers to handle both known and unknown disturbances, ensuring stable motion in confined spaces. A related study (2015, 3 citations) extends this work to complex trajectories like roundabouts, using kinematic and dynamic models of three-wheeled non-holonomic robots to achieve precise path tracking. Though his citation counts are modest, Zulkifli’s contributions are foundational for applications in warehouse automation, search-and-rescue, and autonomous transportation. His research bridges the gap between theoretical control algorithms and real-world robotic navigation, offering practical solutions for environments where obstacles and disturbances are unpredictable. By integrating robust control with hybrid methods, Zulkifli advances the reliability and adaptability of mobile robots—a critical step toward their widespread deployment in dynamic, human-centered spaces.