Sanju Kumar NT
Papers
1
Total Citations
4
H-Index
1
About
Sanju Kumar NT is a researcher focused on advancing autonomous mobile robotics, particularly in the domains of simultaneous localization and mapping (SLAM) and terrain-aware path planning. His most cited work, "Mobile Robot Terrain Mapping for Path Planning using Karto SLAM and Gmapping Technique" (2022), systematically compares two leading SLAM frameworks—Karto SLAM and Gmapping—for constructing accurate environmental maps using laser, sonar, and camera sensors. By evaluating their performance in generating reliable maps for path planning, he provides practical insights into sensor fusion and algorithmic trade-offs, contributing to more robust navigation in unknown terrains. This work has garnered 4 citations, marking its relevance among peers exploring real-world robotic deployment. Kumar NT’s research addresses a fundamental challenge in robotics: enabling a robot to simultaneously build a map of its surroundings and localize itself within it—a critical capability for applications ranging from warehouse logistics to search-and-rescue operations. His contributions help bridge the gap between theoretical SLAM algorithms and their practical implementation, offering a valuable reference for students and engineers designing mobile robot systems that must operate autonomously in complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1