Nursultan Imanberdiyev

Nanyang Technological University, Nazarbayev University

Papers

Total Citations

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About

Nursultan Imanberdiyev’s research lies at the intersection of aerial robotics, manipulation, and human-robot interaction, with a focus on enabling dexterous, autonomous operation in complex environments. His major contributions center on redundancy resolution and trajectory generation for unmanned aerial manipulators (UAMs) and mobile manipulators. In his most-cited work (9 citations), he developed a nonlinear model predictive control strategy that continuously re-plans dual-arm aerial manipulator motion to track end-effector positions while satisfying dynamic constraints—a critical advance for tasks like inspection or assembly at height. His earlier work (7 citations) introduced an intuitive teleoperation framework using a full-body inertial motion capture suit, allowing a mobile manipulator to mirror human arm and body motions in real time. Imanberdiyev also proposed a multi-task velocity-based redundancy resolution strategy (3 citations) that leverages a UAM’s high degrees of freedom to prioritize multiple tasks simultaneously. Together, these contributions demonstrate a clear trajectory from human-guided manipulation to fully autonomous aerial dexterity, making his work highly relevant for researchers in field robotics, control systems, and human-robot collaboration.