Yazmin Gomar Vera
Papers
1
Total Citations
8
H-Index
1
About
Dr. Yazmin Gomar Vera is a robotics researcher whose work centers on autonomous navigation, sensor modeling, and probabilistic obstacle detection for mobile robots. Her most-cited contribution, "Obstacle Detection and Avoidance by a Mobile Robot Using Probabilistic Models" (2015, 8 citations), introduces a novel strategy for mapping and avoiding obstacles using the DaNI 2.0 robotic platform. In this work, she models an ultrasonic sensor with a Gaussian function to significantly improve distance measurement precision, enabling more reliable real-time obstacle avoidance. This probabilistic approach to sensor uncertainty has provided a practical foundation for enhancing the autonomy and safety of mobile robots in cluttered environments. While her citation count reflects a focused, early-career impact, the methodological clarity of her work has made it a useful reference for researchers developing low-cost, sensor-driven navigation systems. Dr. Gomar Vera’s contributions demonstrate a commitment to bridging theoretical probabilistic models with tangible robotic applications, offering a valuable stepping stone for students and engineers working on sensor-based autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1