Kevin Mayorga
Papers
1
Total Citations
6
H-Index
1
About
Dr. Kevin Mayorga is a leading researcher at the intersection of deep learning, human-machine interaction, and extreme-environment robotics, with a primary focus on advancing autonomous navigation for lunar surface operations. His most cited work, "Adaptive Navigation for Lunar Surface Operations Using Deep Learning and Holographic Telepresence" (2022, 6 citations), tackles the formidable challenges of guiding astronauts across the Moon’s South Pole, where low solar angles, permanently shadowed regions (PSRs), and stark contrast create treacherous, cue-poor terrain. Mayorga’s key contribution lies in integrating deep learning-based adaptive path planning with holographic telepresence, enabling real-time, intuitive guidance that compensates for the lack of visual spatial cues. This approach not only enhances crew safety but also lays the groundwork for semi-autonomous rover and astronaut teams. While his citation count is still growing, his work is notable for its direct application to NASA’s Artemis program and future lunar habitats. For students and researchers, Mayorga exemplifies how cutting-edge AI can be harnessed to solve real-world, high-stakes navigation problems beyond Earth.
Research Focus
Key Achievements
Top Papers
- 1