Norzima Zulkifli
Papers
3
Total Citations
102
H-Index
3
About
Norzima Zulkifli is a leading researcher in mobile robotics, specializing in motion planning and obstacle avoidance within dynamic, unpredictable environments. Her work addresses a fundamental challenge in robotics: enabling autonomous systems to navigate safely when obstacles are moving and the environment is constantly changing. Her highly cited 2015 review, which has garnered 46 citations, provides a comprehensive synthesis of over 80 approaches to path planning with obstacle avoidance, establishing a foundational reference for the field. Building on this, she developed a novel navigation algorithm that integrates future prediction and priority behavior, published in 2017 with 41 citations, offering a robust solution for arbitrary unknown dynamic settings. Her 2019 paper further advances the field by introducing an ANFIS-based optimized fuzzy-multilayer decision approach, achieving 15 citations for its innovative handling of ever-changing environments. Through these contributions, Zulkifli has significantly advanced the theoretical and practical frameworks for autonomous robot navigation, providing critical tools for applications ranging from autonomous vehicles to service robots. Her work remains essential reading for researchers tackling real-world navigation challenges.
Research Focus
Key Achievements
Top Papers
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