Adithya Pokala

École Supérieure d'Ingénieurs en Génie Électrique

Papers

Total Citations

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About

Adithya Pokala is a robotics researcher whose work centers on visual Simultaneous Localization and Mapping (vSLAM), a critical technology enabling autonomous navigation. His most cited contribution, the 2019 benchmark "Benchmark of Visual SLAM Algorithms: ORB-SLAM2 vs RTAB-Map" (30 citations), provides a rigorous comparative analysis of two leading vSLAM algorithms using an Intel RealSense D435 camera mounted on a robotic platform. This practical evaluation offers the research community clear guidance on algorithm selection for real-world applications, addressing performance trade-offs in accuracy, computational efficiency, and robustness. By systematically testing these algorithms under controlled conditions, Pokala's work helps bridge the gap between theoretical vSLAM development and practical deployment in robotics. His research demonstrates a commitment to reproducible, application-oriented studies that directly inform engineering decisions. As vSLAM continues to underpin advances in autonomous vehicles, drones, and service robots, Pokala's benchmarking methodology serves as a valuable template for evaluating emerging algorithms, making his contribution a foundational reference for both newcomers and experienced practitioners in the field of robotic perception and navigation.