Raul Bernal

Texas A&M International University

Papers

1

Total Citations

5

H-Index

1

About

Raul Bernal is a pioneering researcher in swarm robotics and autonomous space exploration, best known for developing the Square Spiral Search (SSS) Algorithm for cooperative robots. His seminal 2020 paper on the SSS algorithm, which has garnered 5 citations, ignited a movement in space exploration by enabling coordinated multi-robot systems to efficiently search unknown terrains. Collaborating with the University of New Mexico (UNM), Bernal's work laid the foundation for the NASA Swarmathon in 2016, a national competition that empowers students to test their programming skills in real-world robotics challenges. This initiative has granted countless students the opportunity to apply theoretical knowledge to practical problems, fostering innovation in autonomous systems for Mars exploration. Bernal's contributions bridge the gap between academic research and hands-on education, demonstrating how algorithmic design can drive both scientific discovery and workforce development. His work continues to inspire the next generation of engineers and roboticists, proving that even modest citation counts can signal transformative impact when paired with visionary applications in space technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Square Spiral Search (SSS) Algorithm for Cooperative Robots: Mars Exploration
5 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Texas A&M International University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago