Papers
16
Total Citations
419
H-Index
8
About
Norlida Buniyamin is a prominent robotics researcher whose work centers on autonomous mobile robot navigation, path planning, and simultaneous localization and mapping (SLAM). Her most influential contribution, a 2006 overview of autonomous mobile robot path planning algorithms, has garnered over 219 citations and remains a foundational reference for researchers entering the field, synthesizing approaches to collision-free navigation in obstacle-cluttered environments. Building on this foundation, she has systematically explored optimization-based planning strategies, including a comparative study of Genetic Algorithms and Ant Colony Optimization for robot path planning across environments of varying complexity, and a dedicated investigation of Ant Colony Systems for global static environments. Her research further extends into fuzzy logic-based obstacle avoidance, robotic system simulation using SolidWorks SoftMotion, and underground pipeline mapping—demonstrating a broad applied scope. In her more recent work, Buniyamin has advanced SLAM methodologies, developing Rao-Blackwellized Particle Filter algorithms integrated with neural network sensor models to improve localization accuracy even when using low-cost sensors. Collectively, her publications reflect a career dedicated to making autonomous robotic systems more intelligent, accessible, and practically deployable across industrial, infrastructure, and exploratory settings.
Research Focus
Key Achievements
Top Papers
- 1An Overview of Autonomous Mobile Robot Path Planning Algorithms219 citations · 2006
- 2Simulation of pick and place robotics system using Solidworks Softmotion41 citations · 2012
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- 5Ant colony system for robot path planning in global static environment24 citations · 2010
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- 7Automated mapping for underground pipelines: An overview13 citations · 2014
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