Bailun Jiang

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About

Bailun Jiang is a rising researcher in robotics and control systems, with a focus on autonomous underwater vehicles (UUVs) and aerial manipulation. His key research areas include disturbance observer-based control, model predictive control, and soft robotics for aerial grasping. Jiang’s most cited work, "Disturbance Observer-Based Model Predictive Control for an Unmanned Underwater Vehicle" (2024, 33 citations), tackles the complex motion control of a 4-degree-of-freedom UUV under nonlinear dynamics, parametric uncertainties, and time-varying disturbances. This contribution is critical for enhancing the robustness and precision of underwater robots in real-world conditions. In parallel, his paper "A Modular Pneumatic Soft Gripper Design for Aerial Grasping and Landing" (2024, 8 citations) introduces an innovative soft gripper for drones, enabling safer and more versatile aerial interactions. Jiang’s work bridges theoretical control advances with practical robotic applications, offering solutions for inspection, search and rescue, and drone delivery. With growing citation impact and a focus on real-world deployment, Jiang is establishing himself as a promising contributor to intelligent robotic systems.