Heriberto Dominguez
Papers
1
Total Citations
4
H-Index
1
About
Heriberto Dominguez is a robotics researcher whose work centers on swarm intelligence, multi-robot coordination, and bio-inspired algorithms for autonomous exploration. His most notable contribution is the development of the Radiating L-shaped Search Algorithm, a novel approach designed to improve the efficiency of search and mapping tasks in unknown environments. This algorithm was specifically created for the DustySWARM team and implemented on NASA’s Swarmies—compact rovers inspired by ant behavior—during the 2019 NASA Swarmathon competition. By mimicking the foraging patterns of ants, Dominguez’s algorithm enables a team of small robots to systematically cover terrain while maintaining communication and avoiding redundancy. His work has direct applications in planetary exploration, disaster response, and environmental monitoring. Though early in his career, his research has already garnered attention within the swarm robotics community, with his most cited paper accumulating 4 citations. Dominguez’s contributions represent a meaningful step toward scalable, decentralized robotic systems capable of tackling complex real-world challenges through simple, local interactions.
Research Focus
Key Achievements
Top Papers
- 1Developing a Radiating L-shaped Search Algorithm for NASA Swarm Robots4 citations · 2020