Papers
1
Total Citations
2
H-Index
1
About
Ling Shi is an emerging researcher specializing in autonomous underwater systems, coastal robotics, and human-robot collaboration technologies. Their work focuses on developing innovative solutions for challenging underwater search and reconnaissance operations, particularly in coastal environments where traditional methods have proven inadequate. Shi's most notable contribution to date is the development of a Coastal Underwater Evidence Search System featuring surface-underwater collaboration, published in 2024. This pioneering work addresses critical limitations of conventional underwater search methods, such as reliance on human divers and tethered remotely operated vehicles, by introducing an autonomous collaborative framework that enhances both safety and operational efficiency. The system represents a meaningful step forward in how artificial objects can be detected and retrieved in complex coastal underwater environments, with potential applications spanning law enforcement, maritime security, and search-and-rescue operations. While still in the early stages of building their citation profile — with the work accumulating 2 citations since publication — Shi's research addresses a genuinely underserved technological gap. Students and researchers working in marine robotics, autonomous systems, or underwater sensing will find Shi's contributions a valuable reference point as this promising area of collaborative underwater robotics continues to grow.
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Top Papers
- 1