Esteban Herrera
Papers
2
Total Citations
10
H-Index
2
About
Esteban Herrera is a robotics researcher whose work centers on swarm intelligence and cooperative autonomous systems for space exploration. His primary contributions lie in developing novel search algorithms for multi-robot teams, specifically designed for the challenges of planetary surface navigation. Herrera is best known for creating the **DustySWARM SpiralEpicycloidal Wave (SEW) Code** and the **Square Spiral Search (SSS) Algorithm**, both of which were designed for the NASA Swarmathon competition. These algorithms enable small, coordinated robot swarms to efficiently search for and map resources on the Moon and Mars, addressing a critical need for NASA’s future off-world missions. While his most-cited papers each hold 5 citations, their significance is amplified by their direct application to a high-profile, practical challenge: the NASA Swarmathon, a national student competition. Herrera’s work bridges the gap between theoretical swarm robotics and real-world space exploration, demonstrating how bio-inspired search patterns can be optimized for the harsh, unstructured environments of other planets. His research is a key step toward making autonomous, cooperative robot teams a viable tool for future NASA missions.
Research Focus
Key Achievements
Top Papers
- 1
- 2