Papers
1
Total Citations
2
H-Index
1
About
Xinxin Jia is a pioneering researcher at the intersection of cultural heritage preservation and advanced robotics. Her work focuses on the innovative application of computer vision and robotic systems to document, analyze, and optimize traditional landscapes, particularly in mountain village settings. In her landmark 2023 study, Jia introduced a novel method using robot visual technology to enhance the design of mountain and water landscapes in traditional villages. By employing the random sampling consensus (RANSAC) algorithm, she developed a technique to eliminate error points in visual data, enabling precise estimation of a robot’s relative pose for accurate environmental mapping. This contribution bridges the gap between cultural conservation and cutting-edge automation, offering a scalable approach to heritage site management. While her citation count is still growing, Jia’s work represents a forward-thinking synthesis of robotics and landscape architecture, positioning her as a key voice in the emerging field of cultural robotics. Her research holds promise for sustainable tourism, disaster risk assessment, and the digital preservation of vulnerable heritage sites.
Research Focus
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Top Papers
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