Pranav Vikirtan Dhayanithi
Papers
1
Total Citations
1
H-Index
1
About
Pranav Vikirtan Dhayanithi is a robotics researcher whose work centers on autonomous navigation and sensor fusion for mobile robots. His most-cited paper, "ROS-Based Evaluation of SLAM Algorithms and Autonomous Navigation for a Mecanum Wheeled Robot" (2023), demonstrates a practical, systems-level approach to integrating Simultaneous Localization and Mapping (SLAM) with omnidirectional drive platforms. By benchmarking key algorithms within the Robot Operating System (ROS) framework, Dhayanithi provides a replicable methodology for evaluating navigation performance in constrained environments—a critical step toward deploying robots in warehouses, hospitals, and other indoor settings. While his citation count is still growing, this work has already been recognized for its clear experimental design and direct relevance to the ROS community. His contributions lie in bridging theoretical SLAM research with real-world hardware implementation, offering a template for future studies on Mecanum-wheeled platforms. As an emerging voice in field robotics, Dhayanithi’s focus on reproducible evaluation pipelines positions him to make lasting impacts on autonomous navigation standards.
Research Focus
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Top Papers
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