Ruige Li

Huazhong University of Science and Technology

Papers

Total Citations

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About

Ruige Li is a researcher specializing in robotics, with a focus on real-time motion planning, collision detection, and optimal path generation for automated systems. Li’s major contributions lie in the development of hardware-accelerated solutions for computationally intensive robotic tasks. In their most-cited work (2019, 6 citations), Li proposed an FPGA-based collision detection accelerator, addressing the critical bottleneck of real-time motion planning in dynamic environments—a key challenge for robotic arm applications. This work demonstrates a novel integration of hardware design with robotics to achieve faster, more reliable performance. In a subsequent study (2020, 3 citations), Li tackled efficiency in warehouse automation by developing an optimal path planning algorithm for a 6-degree-of-freedom robot in a shelf-picking system, minimizing travel distance for order fulfillment. Though early in their career, Li’s research bridges hardware acceleration and practical robotics, offering impactful solutions for industrial automation and real-time systems. Their work is particularly relevant for students and researchers interested in FPGA-based robotics, motion planning, and intelligent manufacturing.