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About

Xiulan Bao is a robotics researcher whose work sits at the intersection of agricultural automation, food processing robotics, and multi-robot systems. Their research tackles real-world challenges in precision automation, developing innovative solutions that bridge mechanical engineering with applied artificial intelligence. Bao's most notable contributions span two primary domains. In agricultural robotics, their design of a cable-driven spray robot for citrus orchards in hilly Southeast Asian terrain addresses a critical gap in smart farming, where conventional equipment struggles with uneven landscapes. In food processing, Bao has pioneered robotic systems for sheep carcass segmentation and cutting, combining 3D point cloud technology with dual-robot coordination to improve both precision and efficiency in meat processing — work that has attracted consistent research attention across multiple publications. A unifying theme across Bao's portfolio is the calibration of multi-robot systems. Their three-point measurement calibration method for dual-robot base coordinates represents a foundational technical contribution, enabling the collaborative operation that makes complex automated tasks feasible. With citations accumulating across works published between 2021 and 2023, Bao is an emerging voice in intelligent robotics, offering practical solutions to industries where automation can meaningfully transform productivity and quality.