Yanina Landa
Papers
1
Total Citations
19
H-Index
1
About
Dr. Yanina Landa is a leading researcher in autonomous robotics, with a core focus on robotic path planning, environment mapping, and sensor-limited navigation. Her most-cited work, "Robotic Path Planning and Visibility with Limited Sensor Data" (2007, 19 citations), introduces a pioneering implementation of an Essentially Non-oscillatory (ENO) interpolation-based algorithm for environment discovery. This contribution directly addresses the critical challenge of enabling robots equipped only with range sensors to map and navigate initially unknown surroundings—a foundational problem in field robotics. By advancing visibility-based path planning under sensor constraints, Dr. Landa’s research has provided practical frameworks for autonomous systems operating in unstructured or hazardous environments. Her work bridges computational geometry and robotics, offering robust solutions for real-world deployment where full sensor data is unavailable. With a career dedicated to improving how robots perceive and move through the world, Dr. Landa continues to influence the development of more adaptive and resilient autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Robotic Path Planning and Visibility with Limited Sensor Data19 citations · 2007