R. K. SIDHARTHAN

Papers

Total Citations

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About

R. K. Sidharthan is a robotics researcher focused on advancing mobile robot localization and mapping in challenging, real-world environments. His work addresses a critical problem: the inaccuracy of dead reckoning caused by wheel slip. His most-cited paper, "Stochastic Wheel-Slip Compensation Based Robot Localization and Mapping" (2016, 6 citations), introduces a probabilistic scheme to model and compensate for unpredictable wheel slippage, significantly improving the reliability of odometry-based mapping. Building on this, Sidharthan developed a novel "Keep Zero as Zero" polar correlation technique for LIDAR-based localization (2016, 2 citations). This method intelligently preserves zero values in scan comparisons, enabling more robust detection of environmental scene changes and enhancing sensor fusion accuracy. Though his citation counts are modest, his contributions target foundational challenges in autonomous navigation—specifically, the fusion of noisy proprioceptive and exteroceptive data. Sidharthan’s work is particularly valuable for researchers developing low-cost, slip-prone robotic platforms, offering practical algorithms that bridge the gap between theoretical localization models and real-world deployment. His focus on stochastic compensation and polar correlation represents a thoughtful, problem-driven approach to making robots more dependable in uncertain terrains.