Max Robotics — Global Service Robot Directory + US Certification

About

Xining Cui is a researcher advancing the frontiers of intelligent robotics and machine vision, with a primary focus on precision manipulation and automated sorting systems. Her most impactful work, "A 6D Pose Estimation for Robotic Bin-Picking Using Point-Pair Features with Curvature (Cur-PPF)" (2022, 16 citations), tackles the critical challenge of pose estimation in cluttered, noisy environments—a key bottleneck for industrial bin-picking. By integrating curvature into point-pair features, she significantly improved the accuracy of 6D pose acquisition under occlusion and overlap. Cui also developed an end-to-end deep neural network for precise grasping of overlapping objects (2021, 7 citations), demonstrating a practical, data-driven approach to complex robotic tasks. Her broader contributions include a comprehensive overview of intelligent sorting systems based on machine vision (2023, 4 citations) and a novel method to enhance hand-eye calibration accuracy through data filtering and parameter optimization (2024, 4 citations). Most recently, she has explored residual vibration reduction in flexible systems using trapezoidal velocity profiles (2025, 3 citations), addressing the challenge of high-speed, lightweight manufacturing. With a cumulative citation count of 34, Cui’s work bridges theoretical innovation and real-world industrial application, offering robust solutions for next-generation automation.