Mayra Yucely Beb
Papers
2
Total Citations
25
H-Index
2
About
Mayra Yucely Beb is a robotics researcher whose work focuses on the intersection of intelligent control systems, autonomous navigation, and bio-inspired optimization. Her most impactful contribution is the optimal design of PID controllers for a 2-DOF drawing robot using a Bat-Inspired Algorithm, a paper that has garnered 18 citations and demonstrates her ability to apply nature-inspired heuristics to real-world robotic precision tasks. In a related vein, she has advanced the field of mobile autonomous robotics through her work on a hybrid self-balancing and object-tracking robot, which integrates artificial intelligence and machine vision to achieve stable, two-wheeled locomotion while simultaneously tracking targets. This research, with 7 citations, addresses the longstanding challenge of vertical stabilization in inherently unstable platforms. Beb’s work is characterized by a practical, systems-level approach that combines control theory, optimization, and perception. Her contributions are particularly relevant for students and researchers interested in the design of agile, vision-guided robots for applications in logistics, inspection, and service robotics, where balancing autonomy with real-time responsiveness is critical.
Research Focus
Key Achievements
Top Papers
- 1
- 2