Yulu Sun

Guilin University of Electronic Technology

Papers

Total Citations

H-Index

About

Yulu Sun is a researcher specializing in intelligent manufacturing and robotic automation, with a particular focus on industrial robot path planning for precision grinding applications. Their most notable contribution is a novel path planning method for robotic grinding of drills, specifically designed for repairing Polycrystalline Diamond Compact (PDC) bits. This work integrates 3D scanning technology with point cloud data processing in Geomagic Studio to automate the removal of excess material after bit repair, addressing a critical challenge in manufacturing efficiency. While their citation count is currently modest—with their key paper accumulating 2 citations since 2021—the research represents a practical step toward integrating robotics with legacy industrial processes. Sun’s work is especially relevant for students and researchers exploring the intersection of computer vision, robotic control, and surface finishing in manufacturing. Their approach demonstrates how combining off-the-shelf scanning tools with algorithmic path generation can reduce human error and improve consistency in automated grinding tasks. As the field of robotic repair and remanufacturing grows, Sun’s methodology offers a foundational framework for future advancements in adaptive robotic machining.