Ksenia Kolcio
Papers
7
Total Citations
57
H-Index
5
About
Ksenia Kolcio is a specialist in spacecraft autonomy, fault management, and model-based diagnostics, whose research has helped shape how robotic and scientific spacecraft detect, assess, and respond to system failures. Her work centers on developing intelligent onboard systems capable of operating with minimal human intervention — a critical challenge as space missions push further from Earth and demand faster, more reliable decision-making. Kolcio's most influential contributions include her development and analysis of MONSID, a model-based fault management system designed to detect and identify off-nominal spacecraft states, explored across several highly cited studies from 2017 and 2018 (each accumulating 12–13 citations). She also contributed to FRESCO, a framework for advancing spacecraft systems autonomy that addresses complex robotic operations and limited operator contact scenarios (13 citations). Her 2021 work on CubeSat attitude control demonstrated real-world flight data results from onboard model-based fault diagnosis, bridging theoretical frameworks with operational deployment. A consistent theme throughout her research is assurance — rigorously verifying that autonomous diagnostic systems are correct, complete, and performant before mission-critical deployment. Kolcio's contributions offer foundational tools for engineers building the next generation of self-sufficient spacecraft, making her work essential reading for researchers in space systems engineering and autonomous fault management.
Research Focus
Key Achievements
Top Papers
- 1Model-based approach to rover health assessment for increased productivity13 citations · 2017
- 2FRESCO: A Framework for Spacecraft Systems Autonomy13 citations · 2021
- 3Assurance of model-based fault diagnosis12 citations · 2018
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- 5Model-based fault management for spacecraft autonomy5 citations · 2014
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