Kian Shakerin

University of Colorado Boulder

Papers

1

Total Citations

2

H-Index

1

About

Kian Shakerin is a pioneering researcher in autonomous space exploration, specializing in artificial intelligence and robotic operations for planetary science. His work addresses a critical challenge: enabling robotic landers to operate independently on distant worlds like Europa or Enceladus, where communication delays and unpredictable environments make human-in-the-loop control impractical. Shakerin’s major contribution, the REASON-RECOURSE software system, provides a framework for science-driven autonomous decision-making, allowing landers to adapt to unknown unknowns—unforeseen terrain, hazards, or scientific opportunities—without real-time human guidance. This innovation, detailed in his 2023 paper (cited 2 times), represents a foundational step toward future missions that require self-sufficient exploration. By integrating reasoning and planning algorithms, Shakerin’s work enhances mission longevity and scientific return, directly impacting NASA and ESA’s long-term goals for ocean world exploration. His research bridges robotics, AI, and planetary science, offering a scalable solution for autonomous operations in extreme environments. For students and researchers, Shakerin’s contributions highlight the transformative potential of AI in space exploration, where machines must think, adapt, and discover without waiting for commands from Earth.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
REASON-RECOURSE Software for Science Operations of Autonomous Robotic Landers
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Colorado Boulder

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago