Mojtaba Hashemi
Papers
1
Total Citations
11
H-Index
1
About
Mojtaba Hashemi is a researcher specializing in marine robotics, sensor fusion, and state estimation, with a particular focus on autonomous underwater and surface vehicles. His most-cited work, "Model identification of a Marine robot in presence of IMU-DVL misalignment using TUKF" (2020, 11 citations), addresses a critical challenge in underwater navigation: the misalignment between inertial measurement units (IMUs) and Doppler velocity logs (DVLs). By applying a TUKF (Tuning-based Unscented Kalman Filter) framework, Hashemi developed a robust method for calibrating sensor errors without requiring external references, significantly improving the accuracy and reliability of autonomous marine robot localization. This contribution is vital for long-duration missions where sensor drift can compromise vehicle performance. Hashemi’s research bridges theoretical estimation algorithms with practical marine applications, offering solutions that enhance the autonomy and safety of underwater operations. His work is recognized for its direct impact on field robotics, providing a foundation for future advancements in sensor integration and adaptive navigation systems.
Research Focus
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Top Papers
- 1