Harsha Kikkeri

Papers

Total Citations

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About

Harsha Kikkeri’s research lies at the intersection of affordable robotics, indoor navigation, and sensor-based localization. His work addresses a critical challenge: making mobile robot navigation reliable without relying on expensive hardware. In his most cited paper, “Reliable kinect-based navigation in large indoor environments” (2015, 16 citations), Kikkeri demonstrated that the low-cost Microsoft Kinect, despite its high noise levels, could be harnessed for robust mapping and navigation in large indoor spaces—a feat typically requiring costly range scanners. This contribution opened doors for budget-friendly robotics research. His follow-up work, “An inexpensive method for evaluating the localization performance of a mobile robot navigation system” (2014, 14 citations), introduced a novel ground-truth evaluation technique using printed landmark patterns, eliminating the need for external sensors. This method enabled scalable, low-cost performance assessment for indoor navigation systems. Together, these papers showcase Kikkeri’s talent for turning practical constraints into innovative solutions, making him a notable figure in accessible robotics. His work continues to inspire researchers seeking to democratize autonomous navigation technology.