Desheng Yan

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About

Desheng Yan is a researcher in robotics and optimization, with a primary focus on trajectory planning and intelligent control systems. His most-cited work, "The point to point trajectory planning based on the ant lion optimiser" (2016), introduces a novel approach to optimizing robot arm trajectories by combining quadrinomial and quintic polynomials in joint space with the ant lion optimiser (ALO) algorithm. This method enhances global search capabilities through dynamic weight adjustments, improving trajectory smoothness and efficiency. With 3 citations, this paper demonstrates Yan's contribution to advancing computational intelligence in robotics, offering a practical solution for precise motion planning. His research bridges optimization theory and real-world robotic applications, making him a notable figure in the field of autonomous systems. Yan's work is particularly valuable for students and researchers exploring bio-inspired algorithms and their integration with robotic control, highlighting his role in pushing the boundaries of efficient, adaptive trajectory generation.