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Xuena Qiu has made pioneering contributions to mobile robotics, with a primary focus on path planning, multi-robot coordination, and intelligent control in uncertain environments. Her most influential work, "A Complete Coverage Path Planning Method for Mobile Robot in Uncertain Environments" (2006, 28 citations), introduced a novel approach integrating biologically inspired neural networks with rolling path planning and heuristic searching, enabling robots to navigate and cover entire workspaces while avoiding obstacles—a breakthrough with direct applications in cleaning robots and autonomous exploration. Building on this, she developed a distributed two-layer architecture for odor source localization in multi-robot systems (2010), combining evolutionary algorithms with control layers to solve complex environmental sensing problems. Her research extends to dynamic target tracking using binocular vision and CamShift-SIFT fusion (2009), as well as event-triggered distributed optimization for multi-robot coordination (2019). Across her career, Qiu’s work has accumulated over 50 citations, demonstrating sustained impact in robotics. Her innovative integration of biological principles with computational methods has advanced the field of autonomous navigation, making her a respected figure in intelligent robotics research.