Tatyana Khan

Papers

Total Citations

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About

Tatyana Khan is a researcher in mobile robotics, with a primary focus on context-aware navigation and sensor-based decision-making. Her most cited work, "Context-aware robot navigation based on sensor association rules" (2009, 4 citations), introduces a novel data mining approach to decompose the complex navigation problem into manageable subunits. By leveraging sensor association rules, Khan’s research enables robots to interpret environmental cues more intelligently, allowing for adaptive and context-sensitive movement. Though her citation count is modest, her contribution lies in bridging data mining techniques with robotic autonomy—a niche yet impactful intersection. Khan’s work offers a foundational framework for developing robots that can learn from sensor patterns, paving the way for more responsive and efficient navigation systems in dynamic settings. Her research is particularly valuable for students and engineers exploring how rule-based learning can enhance robotic perception and decision-making in real-world environments.