Marlyse Reeves

Massachusetts Institute of Technology

Papers

1

Total Citations

3

H-Index

1

About

Marlyse Reeves is a leading researcher in autonomous systems for space exploration, with a focus on information-driven decision-making and risk-bounded autonomy. Her work bridges the gap between scientific data collection and engineering constraints, ensuring that robotic missions can adaptively gather high-value observations while maintaining operational safety and longevity. Her most-cited paper, "Toward Information-Driven and Risk-Bounded Autonomy for Adaptive Science and Exploration" (2020), introduces frameworks that enable spacecraft to prioritize scientific targets in real time, balancing exploration goals with hardware limitations—a critical capability for deep-space missions where communication delays preclude human oversight. Though early in her career, Reeves’ contributions are already shaping next-generation planetary rovers and orbiters, emphasizing resilience and efficiency. Her research has been recognized for its potential to transform how autonomous systems operate in uncertain environments, from Mars to icy moons. With a growing citation footprint and collaborations across NASA and academic institutions, Reeves is establishing herself as a key voice in intelligent, risk-aware robotics for extreme environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Toward Information-Driven and Risk-Bounded Autonomy for Adaptive Science and Exploration
3 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Massachusetts Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago