Yefei Gong

Papers

Total Citations

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About

Yefei Gong is a researcher at the forefront of robotics and 3D computer vision, with a focus on industrial automation and modular robotic systems. His work bridges the gap between perception and action, developing methods that enable robots to accurately perceive and interact with their environments. A key contribution is his hand-eye calibration method for industrial robots using 3D cameras and dual quaternions, which employs novel 3D cube-shaped calibrators to achieve precise point-to-point registration—a critical step for guiding robotic manipulation. Gong has also advanced weld seam segmentation by introducing attention-based hierarchical feature fusion in RGB-D data, addressing the challenge of accurately detecting and positioning welds with varying morphological characteristics for robotic milling. Additionally, his work on standardized representation methods for modular service robots provides frameworks for interoperability and system integration. While his most-cited papers currently have 3-4 citations each, reflecting the emerging nature of his research, these contributions are foundational for next-generation industrial robotics, where 3D perception and precise calibration are essential for tasks ranging from autonomous manufacturing to collaborative service applications.