Nafis Rafat Niloy
Papers
2
Total Citations
8
H-Index
2
About
Nafis Rafat Niloy is a researcher whose work centers on autonomous robotics, with a particular focus on Simultaneous Localization and Mapping (SLAM) and sensor-based navigation. His key contributions lie in developing practical solutions for indoor robot mapping using sonar sensors and occupancy grid techniques. In his most cited work, "Sonar-based SLAM Using Occupancy Grid Mapping and Dead Reckoning" (2018, 6 citations), Niloy demonstrated how to integrate sonar data with dead reckoning to enable a differential drive robot to construct accurate maps of unknown indoor environments—a foundational challenge in mobile robotics. His earlier thesis, "Simultaneous localization and mapping (SLAM) with an autonomous robot" (2017, 2 citations), laid the groundwork for this approach, showcasing his early dedication to solving real-world navigation problems. While his citation counts reflect a developing career, Niloy’s work is notable for its hands-on, applied methodology, bridging theoretical SLAM algorithms with practical implementation on low-cost hardware. His research offers valuable insights for students and engineers interested in affordable, sensor-driven autonomous systems, and his focus on sonar-based mapping remains relevant for indoor robotics applications where cost and simplicity are key.
Research Focus
Key Achievements
Top Papers
- 1Sonar-based SLAM Using Occupancy Grid Mapping and Dead Reckoning6 citations · 2018
- 2Simultaneous localization and mapping (SLAM) with an autonomous robot2 citations · 2017