Xiang‐Qian Song

Papers

Total Citations

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About

Xiang‐Qian Song is a researcher specializing in robotics and automation, with a particular focus on motion trajectory planning for robotic arms. His work addresses critical challenges in optimizing the movement efficiency, precision, and safety of robotic manipulators, which are essential for applications in manufacturing, assembly, and autonomous systems. His most-cited paper, "Research on motion trajectory planning of the robotic arm of a robot" (2022), has garnered 13 citations, reflecting its relevance in advancing trajectory optimization algorithms and control strategies. This contribution provides foundational insights into smoothing path generation and reducing mechanical wear, enabling more reliable and energy-efficient robotic operations. Song’s research bridges theoretical kinematics with practical implementation, offering valuable methodologies for engineers and researchers developing next-generation robotic systems. His work continues to influence the design of intelligent automation solutions, underscoring his role in enhancing the adaptability and performance of robotic arms in dynamic environments.