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Advanced Vehicle Intelligence and Autonomy (AVIA) Lab
  • Research
    • Research Areas
      • Aerospace & AI
      • Energy-Aware Planning and Operation
      • State Estimation and Uncertainty Representation
      • Tethered & Airborne Wind Energy Systems
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      • NASA - ULI
      • NASA - T3
      • Toyota
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Baylor BU Advanced Vehicle Intelligence and Autonomy (AVIA) Lab Research Research Areas Aerospace & AI
  • Research Areas
    • Aerospace & AI
    • Energy-Aware Planning and Operation
    • State Estimation and Uncertainty Representation
    • Tethered & Airborne Wind Energy Systems
  • Research Projects
    • NASA - ULI
    • NASA - T3
    • Toyota

Aerospace & AI

Large Language Models (LLMs) have transformative applications in aerospace research, enhancing automation, decision-making, and design optimization. LLMs assist in mission planning for UAVs, satellites, and deep-space exploration by analyzing vast datasets, predicting outcomes, and generating optimized flight paths. They can process real-time sensor data and provide recommendations for trajectory adjustments, energy-efficient routing, and anomaly detection in autonomous aerospace systems.

These applications highlight the potential of LLMs in enhancing automation, optimizing operations, and increasing reliability in aerospace research and engineering.

LLM
Baylor BU Advanced Vehicle Intelligence and Autonomy (AVIA) Lab Research Research Areas Aerospace & AI
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      • State Estimation and Uncertainty Representation
      • Tethered & Airborne Wind Energy Systems
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      • Toyota
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