Papers
1
Total Citations
29
H-Index
1
About
Larkin Folsom is a leading researcher at the intersection of artificial intelligence and planetary exploration, whose work is revolutionizing how robotic rovers navigate alien terrains. As the principal architect of the MAARS (Machine learning-based Analytics for Automated Rover Systems) initiative at JPL, Folsom has spearheaded the integration of cutting-edge self-driving technologies into spaceflight systems, enabling Mars and Moon rovers to make real-time, autonomous decisions. Their most-cited paper (2020, 29 citations) outlines the framework for deploying AI in the extreme conditions of space, a critical step toward the High Performance Spaceflight Computing (HPSC) era. By adapting Earth’s AI revolution for the red planet, Folsom’s contributions have directly enhanced rover safety and scientific productivity, reducing reliance on delayed Earth-based commands. This work has positioned them as a pivotal figure in the next generation of space exploration, where machines learn to navigate the unknown. Folsom’s research not only advances robotics but also inspires a future where AI and human ingenuity together unlock the secrets of the solar system.
Research Focus
Key Achievements
Top Papers
- 1MAARS: Machine learning-based Analytics for Automated Rover Systems29 citations · 2020