J.-H. De-Anda-Cuellar

Universidad de Guanajuato

Papers

1

Total Citations

4

H-Index

1

About

J.-H. De-Anda-Cuellar is a researcher specializing in mobile robotics and intelligent control systems, with a focus on autonomous navigation and parking assistance. His most cited work, "Intelligent Algorithm for Parallel Self-Parking Assist of a Mobile Robot" (2012, 4 citations), introduces a novel algorithm that enables a tricycle mobile robot to perform parallel parking autonomously. The key contribution lies in validating the minimal distance required for the robot to execute the parking maneuver, leveraging the robot's dimensions and sensor feedback. This work demonstrates practical applications in assistive robotics and autonomous vehicle technology, bridging the gap between theoretical control algorithms and real-world implementation. De-Anda-Cuellar's research emphasizes efficiency and precision in robotic motion planning, offering insights into how intelligent algorithms can optimize space utilization and safety in constrained environments. While his citation count reflects a niche but focused impact, his contributions are valuable for students and researchers exploring low-cost, scalable solutions for autonomous parking systems. His work serves as a foundational reference for those developing self-parking mechanisms in mobile robots and autonomous vehicles.

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: Universidad de Guanajuato

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago