Xiao Kang

Papers

Total Citations

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About

Xiao Kang is a pioneering researcher at the intersection of robotics and advanced materials. His work in visual SLAM (Simultaneous Localization and Mapping) has significantly advanced autonomous navigation, particularly through his 2019 paper on loop closure detection that fuses semantic information to correct cumulative robot motion errors—a foundational contribution with 18 citations. More recently, Kang has broken new ground in mechanical metamaterials, demonstrating how electrothermal actuation can achieve reconfigurable bending and shear deformation modes in lattice structures. His 2024 papers, each garnering 12 and 9 citations respectively, showcase novel approaches to creating adaptive, shape-shifting materials with potential applications in soft robotics and deployable structures. By bridging perception algorithms and smart materials, Kang’s work enables robots that not only navigate intelligently but also physically adapt to their environment. His growing citation record reflects the dual impact of his research: improving the reliability of autonomous systems while expanding the design space for programmable matter. For students and researchers, Kang exemplifies how cross-disciplinary thinking—merging computer vision with materials science—can yield transformative technologies.