Xingang Xiao

Papers

Total Citations

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About

Xingang Xiao is a pioneering researcher in the fields of human-robot interaction and mixed reality (MR) systems, with a particular focus on integrating wearable technologies for intuitive robotic control. His most notable contribution is the development of a mixed reality robot control system leveraging Microsoft HoloLens, a groundbreaking approach that allows operators to manipulate robots through immersive, hands-free interfaces. This work, published in 2019, has garnered 6 citations and laid the foundation for more natural and efficient human-robot collaboration in industrial and assistive contexts. Xiao’s research addresses critical challenges in teleoperation and automation, bridging the gap between virtual environments and physical robotic actions. By combining augmented reality visualization with real-time control, his system enhances operator situational awareness and reduces cognitive load, making complex robotic tasks more accessible. His achievements highlight the potential of MR technologies to revolutionize manufacturing, healthcare, and remote operations. For students and researchers exploring the intersection of robotics and immersive computing, Xiao’s work offers a compelling vision of how mixed reality can transform human-machine interaction, inspiring future innovations in adaptive and user-centered robotic systems.