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About

Sining Yang is a researcher whose work spans robotics, autonomous systems, and wireless communications, with particular expertise in spatial mapping, path planning, and UAV-enabled networks. His most influential contribution, "An Efficient Spatial Representation for Path Planning of Ground Robots in 3D Environments" (2018, 22 citations), introduced a novel approach to environmental representation that overcomes key limitations of traditional methods like elevation maps, enabling more robust navigation in complex 3D settings including urban structures. Complementing this, his 2017 work on real-time globally consistent 3D grid mapping addressed the critical challenge of accurate volumetric environment modeling for mobile robots operating in unknown terrains. Yang has also made meaningful strides in UAV-assisted communications, exploring how unmanned aerial vehicles can serve as relays to support ground robots in surveillance and search missions. His 2021 and 2022 papers tackle joint communication-motion planning and UAV placement optimization in urban environments, accounting for complex line-of-sight and non-line-of-sight channel conditions. More recently, his work on ROS2 executor timing reflects a broadening interest in real-time robotics software systems, demonstrating a career that bridges perception, planning, and networked autonomy.