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About

Shouhong Miao is a leading researcher in robotics, with a primary focus on the kinematics, dynamics, and control of mobile and articulated robotic systems. His work is distinguished by its practical approach to solving fundamental challenges in robot autonomy and stability. Miao’s most influential contribution is the development of an on-line task modification method (OTMM) for singularity avoidance in both nonredundant and redundant manipulators. This work, which has garnered 19 citations, provides a real-time, velocity-level solution to a critical problem in robot motion planning, allowing manipulators to operate smoothly near singular configurations. He has also made significant strides in the autonomous deployment of two-wheeled inverted pendulums, pioneering a self-tilt-up motion model that enables these vehicles to erect themselves without external assistance—a capability with 14 citations that is essential for autonomous field operations. Further expanding his impact, Miao has applied adaptive inverse control to omni-directional mobile robots and developed quadratic programming-based algorithms to enhance the dynamic stability of mobile manipulators during on-line planning. Through these contributions, Miao has established himself as a key figure in advancing the reliability and autonomy of modern robotic systems.