Robert Fonod  —  Research Interests

Machine/Deep Learning (ML/DL) and Computer Vision (CV)

  • Fusion of Data-driven and Model-based Approaches

  • Multiple Object Detection and Tracking

  • Deep Computer Vision Systems

Guidance, Navigation, and Control (GNC)

  • Intertwined Guidance and Navigation in Autonomous Cooperative Systems

  • Nonlinear State Estimation and Target Tracking

  • Ballistic Guidance Design and Analysis

Fault Detection, Isolation, and Recovery (FDIR)

  • Model-based Robust Fault Detection and Isolation

  • Uncertainty and Time-delay Modelling

  • Control Re-allocation