Yueyue Ta
Papers
1
Total Citations
5
H-Index
1
About
Yueyue Ta is a robotics researcher whose work focuses on autonomous navigation and dynamic obstacle avoidance for mobile robots. Her most-cited paper, "Laser range finder based moving object tracking and avoidance in dynamic environment" (2010), introduces a dynamic polar coordinate environment model that enables robots to track and avoid moving obstacles while still reaching their intended goals. This foundational contribution addresses a critical challenge in robotics: operating safely in unpredictable, real-world settings. Though her citation count is modest at 5, the work represents an important step in simplifying environmental modeling for real-time robot control, particularly in applications requiring robust interaction with moving objects. Ta’s research bridges sensor-based perception and motion planning, offering practical solutions for autonomous systems in dynamic environments. Her efforts contribute to the broader goal of making mobile robots more adaptive and reliable, with potential impacts on service robotics, industrial automation, and autonomous vehicles.
Research Focus
Key Achievements
Top Papers
- 1