Ziang Lyu
Papers
1
Total Citations
7
H-Index
1
About
Ziang Lyu is a researcher focused on advancing autonomous navigation and robotic path planning, with particular expertise in optimizing algorithms for non-standard environments. His most cited work, "Research on Path Planning for Robot Based on Improved Design of Non-Standard Environment Map With Ant Colony Algorithm" (2023), has garnered 7 citations and addresses a critical challenge in mobile robotics: generating efficient motion paths in complex, irregular maps that deviate from conventional grid-based models. By enhancing the ant colony optimization algorithm, Lyu’s approach accelerates path computation while maintaining robustness, offering practical improvements for real-world robotic deployment in unstructured settings. This contribution is especially relevant for applications in search-and-rescue, industrial automation, and autonomous exploration. Lyu’s research bridges the gap between theoretical algorithm design and practical mapping constraints, demonstrating a commitment to making robots more adaptive and efficient. His work continues to influence the development of intelligent navigation systems, marking him as an emerging voice in the field of robotics and computational intelligence.
Research Focus
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Top Papers
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