Max Robotics — Global Service Robot Directory + US Certification

About

Yingkui Gu is a leading researcher in the reliability and precision of robotic systems, with a focus on positioning accuracy, energy efficiency, and manufacturing optimization. His work addresses critical challenges in industrial automation, particularly how to design and operate robots that are both highly accurate and cost-effective. Gu’s most cited paper, "An Optimal Tolerance Design Approach of Robot Manipulators for Positioning Accuracy Reliability" (2023, 64 citations), introduces a novel method to select optimal kinematic tolerances that minimize positioning failure probability while respecting manufacturing cost constraints. He has also made significant contributions to green manufacturing, as seen in "A Feasible Method for Evaluating Energy Consumption of Industrial Robots" (2021, 20 citations), which tackles the practical difficulty of acquiring joint torque data in industrial settings. Gu further advances the field with his work on hybrid uncertainty analysis, including an extended moment-based trajectory accuracy reliability method that handles both random and interval uncertainties (2024, 16 citations). His research on experimental tolerance design (2022, 12 citations) and concurrent layout and trajectory optimization for collision-free, energy-efficient workcells (2022, 8 citations) demonstrates a comprehensive approach to robotic automation. With a growing body of work that bridges theoretical reliability models and practical industrial applications, Gu is shaping the future of dependable, sustainable robotics.