Papers
18
Total Citations
502
H-Index
8
About
Nohaidda Sariff is a leading researcher in autonomous mobile robotics, specializing in path planning, obstacle avoidance, and multi-agent coordination. Her foundational work, "An Overview of Autonomous Mobile Robot Path Planning Algorithms" (2006, 219 citations), remains a key reference for researchers seeking to understand collision-free navigation in cluttered environments. Sariff has made significant contributions by systematically comparing bio-inspired optimization techniques, notably in her comparative study of Genetic Algorithm and Ant Colony Optimization for robot path planning (2009, 38 citations), demonstrating how these algorithms perform across environments of varying complexity. She has advanced fuzzy logic-based obstacle avoidance, developing controllers for e-puck robots that enable smooth, efficient navigation in static environments (2013, 34 citations; 2014, 25 citations). Her recent work on multi-agent systems, including a broadcast event-triggered consensus controller for rendezvous applications (2023, 22 citations), addresses critical communication challenges in cooperative robotics. With over 475 total citations, Sariff’s research bridges classical path planning algorithms with modern intelligent control techniques, providing practical frameworks for autonomous navigation. Her integration of fuzzy logic and artificial neural networks (2013, 18 citations) further demonstrates her commitment to hybrid approaches that enhance robot performance in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1An Overview of Autonomous Mobile Robot Path Planning Algorithms219 citations · 2006
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- 4Mobile robot obstacle avoidance by using Fuzzy Logic technique34 citations · 2013
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- 6Ant colony system for robot path planning in global static environment24 citations · 2010
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