Juan Pablo Medina
Papers
1
Total Citations
5
H-Index
1
About
Juan Pablo Medina is a robotics researcher whose work centers on swarm intelligence, autonomous exploration, and space robotics. His most notable contribution is the design of the DustySWARM SpiralEpicycloidal Wave (SEW) Code, a novel swarm search algorithm developed for NASA’s Swarmathon competition. This algorithm enables a coordinated group of small robots to efficiently search and map unknown environments—a critical capability for future planetary exploration missions to the Moon and Mars. By drawing inspiration from natural spiral and epicycloidal patterns, Medina’s approach improves coverage efficiency and robustness in challenging, dusty terrains. Though still early in his career, his work has already garnered attention with 5 citations, reflecting its relevance to NASA’s ongoing efforts to deploy autonomous robot swarms for space exploration. Medina’s research bridges the gap between theoretical swarm algorithms and practical, mission-ready systems, positioning him as an emerging voice in the field of space robotics and distributed autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1