Jian Xiao

Nanjing University of Posts and Telecommunications, Chongqing Institute of Green and Intelligent Technology

Papers

Total Citations

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About

Jian Xiao is a rising researcher in robotics and autonomous systems, with a focus on advancing mobile robot navigation and exploration in unknown environments. Their key contributions include developing a deep reinforcement learning framework integrated with landmark generators, which significantly improves autonomous navigation accuracy—a critical capability for applications like search-and-rescue and industrial sweeping robots. Xiao’s work on efficient autonomous exploration and mapping addresses the often-overlooked challenge of regional legacy issues, where smaller unexplored areas disproportionately impact overall exploration efficiency. With over 24 citations across their most-cited papers, Xiao’s research is gaining traction for its practical solutions to real-world robotics problems. Notably, they have also ventured into tactile sensing, proposing a multibranch fusion method for similar object recognition using a smart tactile glove—a novel approach that tackles the difficulty of distinguishing objects with identical physical properties. This interdisciplinary work highlights Xiao’s versatility, bridging autonomous navigation and haptic recognition. Their achievements demonstrate a commitment to pushing the boundaries of robotic perception and autonomy, making them a promising figure for students and researchers interested in intelligent systems and human-robot interaction.