Agus Hasan

About

Agus Hasan is a prominent researcher specializing in fault diagnosis, state estimation, digital twins, and autonomous systems. His work bridges advanced mathematical frameworks with real-world robotics and maritime applications, making significant contributions to the reliability and intelligence of autonomous platforms. Hasan's most influential contributions center on digital twin-driven fault diagnosis and model-based approaches for autonomous surface vehicles and robotic systems. His 2023 papers on digital twins and fault diagnosis have collectively garnered over 75 citations, demonstrating their rapid uptake by the research community. A recurring theme across his work is the development and refinement of Kalman filter variants — most notably his eXogenous Kalman Filter (XKF) and adaptive extended formulations — which enable robust state estimation and actuator fault detection under real-world uncertainty conditions. Beyond maritime robotics, Hasan has extended his expertise to offshore wind energy, exploring fully autonomous operation and maintenance frameworks for floating offshore wind farms. His more recent work ventures into data-driven discovery of governing equations for robotic systems using the novel WyNDA algorithm, reflecting a growing interest in combining physics-based and machine learning approaches. With over 160 cumulative citations, Hasan's research is shaping the future of intelligent, self-diagnosing autonomous systems across multiple industries.

Research Focus

Key Achievements

Top Papers

1. 1
   Digital Twin-Driven Fault Diagnosis for Autonomous Surface Vehicles

   46 citations · 2023
2. 2
   Model-Based Fault Diagnosis Algorithms for Robotic Systems

   45 citations · 2023
3. 3
   Predictive digital twins for autonomous surface vessels

   30 citations · 2023
4. 4
   Towards fully autonomous floating offshore wind farm operation & maintenance

   21 citations · 2023
5. 5
   Adaptive eXogenous Kalman Filter for Actuator Fault Diagnosis in Robotics and Autonomous Systems

   20 citations · 2019
6. 6
   eXogenous Kalman Filter for State Estimation in Autonomous Ball Balancing Robots

   10 citations · 2020
7. 7
   Observer‐based fault diagnosis for autonomous systems

   9 citations · 2024
8. 8
   Interoperable Digital Twin Solutions for Asset-Heavy Industry

   5 citations · 2023
9. 9
   Enhancing accuracy in field mobile robot state estimation with GNSS and encoders

   3 citations · 2024
10. 10
    Discovering Governing Equations of Robots from Data

    3 citations · 2024

Key Collaborators

Contact & Links