Yalda Katebi
Papers
2
Total Citations
88
H-Index
2
About
Yalda Katebi is a leading researcher in mobile robotics, specializing in sensor-based motion planning for autonomous navigation in complex, dynamic environments. Her work addresses the critical challenge of enabling wheeled mobile robots to operate safely and efficiently when both obstacles and targets are in motion. Her most influential contribution, the 2007 paper "Robot Motion Planning In Dynamic Environments With Moving Obstacles And Target" (55 citations), introduces a novel online method that generates collision-free, near-optimal paths by iteratively calculating safe directional vectors based on real-time velocity data. This approach allows robots to pursue moving targets while avoiding both static and dynamic hazards. Building on this foundation, her 2013 study "Sensor-Based Motion Planning of Wheeled Mobile Robots in Unknown Dynamic Environments" (33 citations) extends the framework to fully unknown settings, where no prior map is available. Katebi’s work has been instrumental in advancing practical, real-time navigation for autonomous systems, with applications ranging from warehouse logistics to search-and-rescue operations. Her research remains highly cited for its elegant solutions to the fundamental problem of safe motion in unpredictable worlds.
Research Focus
Key Achievements
Top Papers
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