Lauren Brady
Papers
1
Total Citations
6
H-Index
1
About
Dr. Lauren Brady is a pioneering researcher in human-robotic exploration systems, with a primary focus on adaptive navigation and immersive telepresence for extreme extraterrestrial environments. Her most-cited work, "Adaptive Navigation for Lunar Surface Operations Using Deep Learning and Holographic Telepresence" (2022, 6 citations), addresses a critical bottleneck in lunar South pole missions: the severe visual degradation caused by low solar elevation angles and permanently shadowed regions (PSRs). Dr. Brady’s key contribution lies in integrating deep learning-based path planning with holographic telepresence, creating a system that enhances spatial awareness for astronauts by overlaying real-time, AI-generated guidance cues onto their field of view. This approach effectively compensates for the lack of natural visual landmarks, enabling safer and more efficient traversal of high-contrast, shadowed terrain. Her work has been recognized as foundational for future Artemis mission operations, bridging the gap between autonomous rover navigation and human-directed exploration. By tackling the unique perceptual challenges of the lunar South pole, Dr. Brady is shaping the next generation of human-robotic collaboration for deep-space exploration.
Research Focus
Key Achievements
Top Papers
- 1