M.-A. Carbajal-Guillen

Signal Processing (United States)

Papers

1

Total Citations

4

H-Index

1

About

M.-A. Carbajal-Guillen is a robotics researcher whose work centers on intelligent control systems and autonomous navigation for mobile robots. His most notable contribution is the development of an intelligent algorithm for parallel self-parking assist, designed specifically for tricycle-configured mobile robots. This work, published in 2012, addresses a fundamental challenge in autonomous robotics: enabling a robot to determine the minimal spatial requirements needed to execute a precise parking maneuver. By validating the necessary distance based on the robot's dimensions, Carbajal-Guillen's algorithm provides a practical, computationally efficient solution for real-time autonomous parking. While his most-cited paper has garnered 4 citations, it represents an early and focused contribution to the field of robotic parking assistance, a topic that has since grown in relevance with the rise of autonomous vehicles. His research sits at the intersection of robotics, control theory, and artificial intelligence, offering insights that are valuable for students and engineers working on autonomous navigation and mobile robot autonomy.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Algorithm for Parallel Self-Parking Assist of a Mobile Robot
4 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Signal Processing (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago