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About

Yue Ou is a robotics researcher whose work focuses on advancing mobile manipulation and autonomous inspection systems for critical industrial applications, particularly in nuclear environments. Their research integrates mobile robotics, manipulator design, and computer vision to address safety and efficiency challenges in hazardous settings. Ou’s most cited paper, “An overview on mobile manipulator in nuclear applications” (2022, 10 citations), provides a comprehensive review of how mobile manipulators can replace human operators in nuclear facilities, addressing safety and workload concerns. This foundational work is complemented by their recent contribution, “Vision-based quality evaluation method towards automated penetrant testing” (2025, 9 citations), which demonstrates a novel approach to automating non-destructive testing using visual data. Ou also developed a “High-efficiency inspecting method for mobile robots based on task planning for heat transfer tubes in a steam generator” (2023, 5 citations), improving inspection efficiency in complex tube arrays. Additionally, their work on a small wheel-legged mobile robot with variable configuration (2023, 2 citations) showcases innovative mechanical design, enhancing mobility and adaptability in constrained spaces. With a growing citation record and a clear focus on real-world impact, Yue Ou is contributing to the next generation of autonomous systems for high-stakes industrial environments.