George Gorospe
Papers
2
Total Citations
52
H-Index
2
About
George Gorospe is a researcher at the forefront of **prognostics-enabled decision making (PDM)** and autonomous systems health management. His work bridges the critical gap between fault diagnosis and actionable system control, particularly for aerospace and robotic applications. Gorospe’s major contributions include the development of a **mobile robot test platform** that serves as a hardware-in-the-loop validation tool for algorithms that integrate prognostic health information with operational decision-making. His most-cited paper (2020, 37 citations) establishes methods for validating these algorithms, while his foundational 2014 work (15 citations) demonstrated the first practical integration of future operating condition knowledge into real-time action selection. By creating physical testbeds rather than relying solely on simulation, Gorospe has provided the community with reproducible, real-world benchmarks for PDM research. His work is essential reading for engineers developing self-aware, failure-tolerant systems, as it directly addresses the challenge of translating sensor data into optimal, risk-informed actions. Gorospe’s research continues to shape how autonomous vehicles and aircraft can intelligently manage their own degradation.
Research Focus
Key Achievements
Top Papers
- 1
- 2