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About

Xiaotian Yang is a robotics researcher whose work centers on multi-robot systems, autonomous navigation, and decentralized algorithms for search and coverage tasks. Yang's primary contributions lie in developing collision-free, decentralized strategies that enable groups of robots to efficiently explore unknown two- and three-dimensional environments without centralized coordination — a challenge of significant practical importance in search-and-rescue, disaster response, and autonomous surveying applications. Yang's most influential work introduces grid-based navigation frameworks in which robots move along structured patterns — triangular grids in 2D and cubic grids in 3D — to guarantee complete area coverage while avoiding collisions. Notably, one paper draws direct inspiration from real-world scenarios such as the search for Malaysia Airlines Flight MH370, demonstrating an applied vision behind the theoretical contributions. Yang has also extended this research into distributed sensor deployment, designing algorithms that allow mobile robotic sensors to achieve blanket coverage in complex, obstacle-laden 3D environments with limited sensing and communication ranges. With a focused publication record accumulating citations across multiple venues between 2016 and 2017, Yang represents an emerging voice in decentralized robotics research. These foundational contributions offer promising building blocks for scalable, robust multi-robot systems operating in real-world, GPS-denied environments.