Shoumik Sharar Chowdhury
Papers
2
Total Citations
8
H-Index
2
About
Shoumik Sharar Chowdhury is a researcher specializing in autonomous robotics, with a primary focus on Simultaneous Localization and Mapping (SLAM) and sensor-based navigation. His most cited work, "Sonar-based SLAM Using Occupancy Grid Mapping and Dead Reckoning" (2018, 6 citations), introduces a robust solution for indoor mapping using sonar data from a differential drive robot. By integrating occupancy grid mapping with relative positioning, Chowdhury demonstrates how low-cost sensors can achieve reliable environmental reconstruction—a critical contribution for resource-constrained robotic platforms. His foundational thesis (2017, 2 citations) further explores SLAM implementation, laying the groundwork for his subsequent innovations. While his citation counts reflect an emerging career, the practical, application-driven nature of his research—particularly in sonar-based mapping—offers valuable insights for students and engineers working on autonomous navigation in GPS-denied environments. Chowdhury’s work exemplifies how accessible sensor technologies can be leveraged for real-world robotic autonomy, making his findings relevant for both academic research and industrial prototyping. His contributions to SLAM methodology continue to inspire cost-effective solutions in mobile robotics.
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