Peiyang Peng

Huazhong University of Science and Technology

Papers

Total Citations

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About

Peiyang Peng is a researcher advancing the frontiers of robotic manufacturing, with a focus on precision machining and adaptive automation. His work centers on developing intelligent systems for robotic deburring—a critical process in industrial finishing—where he addresses the challenge of tool path accuracy through innovative computational methods. Peng’s key contribution is a novel approach using local non-rigid 3D registration to correct tool paths in real time, enabling robots to adapt to part deformations and geometric variations without manual reprogramming. This technique, detailed in his 2024 paper "Tool path correction for robotic deburring using local non-rigid 3D registration," has already garnered 5 citations, reflecting its immediate relevance to the robotics and manufacturing communities. By bridging 3D computer vision and robotic control, Peng’s work reduces waste and improves efficiency in automated finishing processes. His research is particularly notable for its practical application in high-precision industries, where even minor deviations can compromise product quality. As a rising voice in manufacturing automation, Peng continues to explore how non-rigid registration and sensor feedback can enhance robotic adaptability, promising significant impacts on smart factory technologies.