Shahab Heshmati-Alamdari
KTH Royal Institute of Technology, National Technical University of Athens, Aalborg University
Papers
21
Total Citations
1,011
H-Index
15
About
Shahab Heshmati-Alamdari is a leading researcher in autonomous underwater robotics, control systems, and robot manipulation, whose work has profoundly advanced the field of robust motion control for marine robotic systems. His research centers on nonlinear model predictive control (NMPC), trajectory tracking, and multi-robot coordination, with a particular focus on underactuated autonomous underwater vehicles (AUVs) operating in complex, obstacle-laden environments. Among his most influential contributions is his pioneering extension of prescribed performance control to underactuated underwater vehicles, a 2016 paper that has garnered over 210 citations. His 2020 work on robust NMPC for trajectory tracking in constrained workspaces closely follows with 204 citations, cementing his reputation as an authority on reliable, real-world underwater navigation. He has further advanced cooperative robotics through innovative frameworks for multiple underwater vehicle manipulator systems (UVMSs) performing coordinated object transportation, even under lean communication constraints. Heshmati-Alamdari also made early contributions to self-triggered control and vision-based MPC, combining computational efficiency with robust performance. With a body of work accumulating nearly 900 citations across ten notable publications, his research continues to serve as a foundational reference for engineers and scientists developing next-generation autonomous marine systems.
Research Focus
Key Achievements
Top Papers
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- 3A Robust Predictive Control Approach for Underwater Robotic Vehicles111 citations · 2019
- 4Self-triggered Model Predictive Control for nonholonomic systems68 citations · 2013
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