Papers
1
Total Citations
3
H-Index
1
About
Shan Hu is a researcher in robotics and artificial intelligence, with a primary focus on path planning and autonomous navigation for household service robots. Their most-cited work, "Research on Full Traversal Path Planning based on Improved Reciprocating Algorithm" (2020), addresses critical challenges in sweeping machine design—specifically, incomplete cleaning coverage and the inability to escape from "dead points" during operation. By proposing an enhanced reciprocating algorithm, Hu’s research directly improves the efficiency and reliability of autonomous cleaning systems, contributing to the practical deployment of AI-driven home appliances. Although early in their citation impact (3 citations), this work lays foundational groundwork for optimizing traversal paths in constrained environments. Hu’s contributions are particularly valuable for students and researchers interested in mobile robotics, coverage path planning, and the intersection of algorithmic design with real-world hardware constraints. Their work exemplifies how targeted improvements to classical algorithms can solve persistent problems in consumer robotics, making autonomous cleaning more robust and user-friendly.
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Top Papers
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