Jaime Vives-Cortes
Papers
1
Total Citations
6
H-Index
1
About
Jaime Vives-Cortes is a pioneering researcher in human-robot interaction and space exploration technologies, with a focus on adaptive navigation systems for extreme environments. His most-cited work, "Adaptive Navigation for Lunar Surface Operations Using Deep Learning and Holographic Telepresence" (2022, 6 citations), addresses critical challenges in lunar South pole navigation, including low solar elevation angles, high-contrast terrain, and permanently shadowed regions (PSRs). By integrating deep learning algorithms with holographic telepresence, Vives-Cortes has developed innovative solutions that enhance spatial awareness and guidance for astronaut crewmembers in visually degraded environments. This work bridges artificial intelligence and human factors engineering, offering practical frameworks for future Artemis missions and planetary surface operations. His research demonstrates how cutting-edge AI can overcome the unique perceptual limitations of lunar exploration, directly contributing to safer and more efficient extravehicular activities. Vives-Cortes’ contributions are particularly notable for their interdisciplinary approach, combining computer vision, robotics, and cognitive science to solve real-world spaceflight challenges. As a rising voice in astro-robotics, his work continues to shape how humans and machines collaborate in the most remote and hostile frontiers.
Research Focus
Key Achievements
Top Papers
- 1