Harshal Verma
Papers
1
Total Citations
4
H-Index
1
About
Harshal Verma is a robotics researcher specializing in autonomous navigation and simultaneous localization and mapping (SLAM), with a particular focus on enabling mobile robots to perceive and traverse complex environments. His most-cited work, "Mobile Robot Terrain Mapping for Path Planning using Karto Slam and Gmapping Technique" (2022), provides a comparative analysis of two foundational SLAM algorithms, demonstrating how laser, sonar, and camera sensors can be leveraged to construct accurate environmental maps for real-time path planning. This contribution is critical for advancing the reliability of autonomous systems in unstructured settings. With 4 citations, his research directly addresses the core challenge of integrating sensor data with mapping techniques to improve robot localization and decision-making. Verma’s work is especially relevant for students and engineers developing field robots, as it bridges theoretical SLAM concepts with practical implementation strategies. By systematically evaluating Karto SLAM and Gmapping, he offers a clear framework for selecting appropriate mapping solutions, underscoring his commitment to making autonomous navigation more robust and accessible.
Research Focus
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Top Papers
- 1