Ruidi Xu

Papers

Total Citations

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About

Ruidi Xu is a leading researcher in multi-robot systems and precision calibration, with a focus on enabling seamless collaboration between industrial robots. Their most cited work, "Fast Calibration Method for Base Coordinates of the Dual-Robot Based on Three-Point Measurement Calibration Method" (2023, 11 citations), addresses a critical bottleneck in multi-robot deployment: the accurate and efficient alignment of base coordinate systems. By developing a three-point measurement calibration method, Xu has significantly simplified the setup process for dual-robot teams, allowing them to perform complex, high-precision tasks with large payloads—an essential capability for advanced manufacturing and assembly lines. This contribution not only reduces calibration time but also enhances the reliability of collaborative operations. Beyond this flagship study, Xu’s research continues to push the boundaries of robotic coordination, with a growing citation impact that underscores its practical value. Their work is particularly notable for bridging theoretical calibration algorithms with real-world industrial applications, making it a go-to resource for engineers and researchers seeking to optimize multi-robot workflows.