Weiyang Song

Papers

Total Citations

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About

Dr. Weiyang Song is a researcher in robotics and sensing systems, with a primary focus on advancing 3D data acquisition for mobile robots. His most cited work, "A flexible-resolution 3D laser scanning method based on DSP" (2008), introduces an innovative approach to efficiently collect three-dimensional environmental data using a 2D laser scanner (LMS291) integrated with a motor module. By strategically planning the motor's velocity profile, Dr. Song enabled the scanner to capture variable-resolution 3D information, significantly enhancing the flexibility and efficiency of robotic perception systems. This contribution addresses a critical challenge in autonomous navigation and mapping, allowing robots to adapt their scanning resolution based on operational needs. Although his citation count is modest, the work represents a foundational step in practical, low-cost 3D sensing solutions. Dr. Song’s research bridges hardware control and algorithmic planning, offering valuable insights for students and engineers developing real-time perception systems for mobile robotics. His method remains relevant for applications requiring adaptive, resource-efficient environmental modeling.