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About

Sumei Dai is a leading researcher in mobile robotics, with a primary focus on the design, kinematics, and navigation of omnidirectional and specialized rescue robots. Her most significant contributions center on Mecanum wheel technology, where she proposed a novel topological design method using a bottom-roller axle intersection approach to efficiently judge omnidirectional mobility. This work, published in 2019, has garnered 63 citations and provides a simple theoretical foundation for wheel configuration. Dai further advanced the field by developing kinematic models with velocity compensation for combined systems of multiple Mecanum-wheeled robots, enabling precise transport of large-scale objects in industrial settings—a paper cited 56 times. She also pioneered the use of Unity3D for real-time, three-dimensional navigation algorithm simulation, improving upon the traditional A* algorithm for Mecanum wheel robots (43 citations). Beyond omnidirectional platforms, Dai has explored the stairs-climbing capacity of W-shaped track robots for coal mine rescue applications, combining theoretical analysis with physical testing. Her work bridges theoretical kinematics with practical simulation and industrial deployment, making her a key figure in advancing mobile robot mobility and control.