Dora Luz Almanza Ojeda
Papers
1
Total Citations
8
H-Index
1
About
Dora Luz Almanza Ojeda is a researcher whose work centers on mobile robotics, probabilistic modeling, and sensor-based navigation. Her most cited paper, "Obstacle Detection and Avoidance by a Mobile Robot Using Probabilistic Models" (2015), introduces a strategy for detecting, mapping, and avoiding obstacles using the DaNI 2.0 robotic platform. By modeling an ultrasonic sensor with a Gaussian function, she achieved higher precision in distance measurement, enabling more reliable autonomous navigation. This contribution has garnered 8 citations, reflecting its relevance in the field of robotics and intelligent systems. Almanza Ojeda’s research addresses critical challenges in real-world robot mobility, particularly in uncertain environments, and her work continues to inform advances in probabilistic approaches to sensor fusion and obstacle avoidance. Her achievements highlight a commitment to bridging theoretical models with practical robotic applications, making her a notable figure in the development of safer, more adaptive autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1