Kaihao Mao
Papers
2
Total Citations
59
H-Index
2
About
Kaihao Mao is a researcher whose work spans intelligent logistics and advanced materials, with a particular focus on the automation and manipulation of novel systems. His key research areas include path planning for logistics robots and the innovative generation of liquid metal droplets. Mao’s major contribution in logistics is the development of an improved Dijkstra algorithm for rail-mounted robots, which optimizes material distribution in large manufacturing workshops. This work, published in 2023, has already garnered 51 citations, highlighting its immediate relevance to industrial automation. In a striking departure into materials science, Mao co-authored a 2024 study on "Electrocapillarity‐Induced Hurricane‐in‐a‐Tube," a method that enables the high-throughput generation and patterning of liquid metal droplets. This technique overcomes the fundamental challenge of handling high-surface-tension materials, opening new doors for applications in soft robotics and biomedical devices. By bridging the gap between algorithmic efficiency and physical material manipulation, Mao’s work demonstrates a versatile approach to solving complex engineering problems, making him a notable figure in both robotics and advanced manufacturing research.
Research Focus
Key Achievements
Top Papers
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- 2