Roger Hernandez
Papers
2
Total Citations
9
H-Index
2
About
Roger Hernandez is a robotics researcher specializing in swarm intelligence and autonomous search algorithms for space exploration. His primary research focuses on developing efficient, nature-inspired coordination strategies for multi-robot systems operating in extreme environments. Hernandez made significant contributions through his work on the DustySWARM project for the NASA Swarmathon competition, where he designed two novel search algorithms: the SpiralEpicycloidal Wave (SEW) code and the Reverse-Twister algorithm. These algorithms address the critical challenge of enabling small robot swarms to autonomously search and map unknown terrains, directly supporting NASA’s future missions to the Moon and Mars. While his most-cited papers have garnered modest citation counts (5 and 4 respectively), their impact is measured by their practical application in a high-profile NASA competition aimed at revolutionizing space exploration techniques. Hernandez’s work bridges the gap between theoretical swarm robotics and real-world deployment in hazardous, communication-limited environments. His achievements include leading the DustySWARM team from Texas A&M International University, contributing to the broader goal of using coordinated robot collectives for planetary resource discovery and habitat construction.
Research Focus
Key Achievements
Top Papers
- 1
- 2