N. Zulkifli
Papers
1
Total Citations
17
H-Index
1
About
N. Zulkifli is a prominent researcher in robotics, with a primary focus on autonomous navigation and motion planning in complex, dynamic environments. Their major contribution lies in synthesizing and advancing the understanding of path planning algorithms for mobile robots operating amidst moving obstacles—a critical challenge for real-world deployment. Zulkifli’s seminal review, "Robotic motion planning in unknown dynamic environments: Existing approaches and challenges" (2015), which has garnered 17 citations, systematically analyzed over 50 articles to map the landscape of obstacle avoidance strategies. This work not only provided a clear taxonomy of existing methods but also highlighted persistent challenges, such as real-time adaptability and sensor fusion, guiding subsequent research. By clarifying the trade-offs between reactive and deliberative planning approaches, Zulkifli has helped shape the direction of safer, more efficient robotic navigation. Their research is particularly valuable for students and engineers seeking to understand the foundational hurdles in deploying autonomous systems in unpredictable settings, from warehouse logistics to search-and-rescue operations.
Research Focus
Key Achievements
Top Papers
- 1