S. Dolatikalan

Institute for Advanced Studies in Basic Sciences

Papers

Total Citations

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About

S. Dolatikalan is a researcher specializing in robotics and autonomous navigation, with a particular focus on localization in structured environments. Their most notable contribution, "Minimum landmarks for robot localization in orthogonal environments" (2021), addresses a fundamental challenge in mobile robotics: determining the minimal set of environmental features required for accurate pose estimation. This work provides theoretical bounds and practical algorithms for landmark selection in orthogonal spaces—such as indoor corridors and grid-like layouts—offering significant implications for efficient sensor deployment and computational cost reduction in real-time robotic systems. While this paper has garnered 2 citations to date, its conceptual novelty marks Dolatikalan as an emerging voice in spatial reasoning for robotics. Their research bridges geometric theory and applied robotics, aiming to simplify localization without sacrificing precision. For students and researchers exploring minimal sensing strategies or landmark-based navigation, Dolatikalan’s work offers a concise yet rigorous entry point into optimizing robot autonomy in constrained environments.