Papers
3
Total Citations
84
H-Index
3
About
Yatai Ji is a researcher at the forefront of autonomous robotic search and rescue, specializing in the detection and localization of hazardous chemical sources in complex, obstructed environments. Their work addresses a critical challenge in emergency response: how to rapidly and accurately find the origin of a toxic gas leak using mobile sensor networks. Ji’s key contributions include developing cognitive search strategies that allow robots to intelligently navigate unknown areas with forbidden zones and obstacles, dynamically estimating the source location while planning optimal paths. Their most cited paper, "Source searching in unknown obstructed environments through source estimation, target determination, and path planning" (2022, 35 citations), along with a foundational 2020 study (34 citations), demonstrates a novel framework that integrates real-time source estimation with adaptive path planning. For large-scale chemical clusters, Ji proposed a multi-robot collaborative strategy (2021, 15 citations) that significantly speeds up source localization by coordinating searchers. With over 80 total citations, Ji’s work is highly impactful for advancing autonomous emergency response systems, offering practical solutions that reduce human risk and improve response times in industrial accidents.
Research Focus
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