Abu Bakar Sayuti Saman

Universiti Teknologi Petronas

Papers

6

Total Citations

192

H-Index

4

About

Dr. Abu Bakar Sayuti Saman is a leading researcher in mobile robotics, with a primary focus on autonomous navigation, Simultaneous Localization and Mapping (SLAM), and robotic locomotion. His most influential work, a quantitative study on tuning ROS gmapping parameters for indoor 2D SLAM (76 citations), has become a foundational reference for optimizing low-cost robotic mapping systems. He has also made significant contributions to safety robotics, developing an autonomous fire-fighting mobile platform (68 citations) that demonstrates how robots can replace humans in hazardous environments. His expertise extends to fundamental navigation algorithms, including maze-solving using flood-fill techniques and SLAM implementation with Extended Kalman Filters. Through his research, Dr. Saman has advanced the practical deployment of autonomous systems by reducing algorithmic complexity and improving real-world performance. His work on non-conventional locomotion, such as the TriBot dragging robot, further showcases his versatility in addressing challenging terrain navigation. With a career spanning over a decade, Dr. Saman’s publications continue to guide researchers and engineers in building more reliable, cost-effective, and autonomous robotic solutions for indoor exploration, emergency response, and industrial applications.

Research Focus

Key Achievements

4
H-Index
6
Papers
192
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
A quantitative study of tuning ROS gmapping parameters and their effect on performing indoor 2D SLAM
76 citations · 2016
📈 Most Prolific Year: 2012 (3 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Universiti Teknologi Petronas

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago