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About

Dabo Xu’s research focuses on advanced robotics, with key contributions in task-space tracking, underactuated system control, and adaptive dynamic programming. His most cited work, "Task-space tracking of robot manipulators via internal model principle approach" (2025, 7 citations), introduces a robust framework for precise manipulator control under disturbances. A standout achievement is his design and modeling of a novel 5-DoF tilt-birotor robot (2020, 5 citations), featuring an assembled inverted pendulum that provides an extra actuating input alongside tilt wings—enabling stable hovering control for an underactuated system. This innovation addresses critical challenges in aerial robotics. Xu also advanced path-following control for 4-DOF manipulators using adaptive dynamic programming (2022, 3 citations), improving transient performance to ensure real system responses closely track planned paths. His work on velocity-free task-space regulators (2025, 2 citations) further simplifies control under external disturbances. With a growing citation impact, Xu’s research bridges theoretical control methods and practical robotic applications, offering scalable solutions for manipulators and aerial robots. His contributions are particularly valuable for students and researchers exploring underactuated systems, adaptive control, and real-time robotic performance optimization.