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About

Yang Xiu is a prominent robotics researcher whose work centers on bionic snake robots, autonomous navigation, and multi-robot coordination systems. With a growing body of highly cited publications, Xiu has established herself as a leading voice in the design and control of snake-inspired robotic platforms for real-world applications. Xiu's most impactful contribution, "Collaborative Obstacle Avoidance Algorithm of Multiple Bionic Snake Robots in Fluid Based on IB-LBM" (2021, 39 citations), pioneered the integration of immersed boundary-lattice Boltzmann methods into multi-robot fluid environments, demonstrating remarkable interdisciplinary innovation. Her subsequent work on line-of-sight (LOS) guidance frameworks — including fuzzy LOS, finite-time sideslip differentiators, and anti-sideslip observers — has significantly advanced path-following and trajectory tracking precision for snake robots operating under uncertain conditions, collectively accumulating over 60 citations across four papers. Beyond individual robot control, Xiu has expanded her research into collaborative formation control for multi-snake robot systems and collision avoidance under environmental constraints, addressing increasingly complex real-world deployment scenarios. Her 2022 survey highlighting snake robots' indispensable role in social services and military reconnaissance (27 citations) has helped frame the field's broader significance. Across all her work, Xiu consistently bridges theoretical rigor with practical applicability, making her research essential reading for engineers and researchers in mobile robotics and autonomous systems.