Mingming Guo

Southwest University of Science and Technology

Papers

Total Citations

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About

Dr. Mingming Guo is a leading researcher in the field of robotic manipulation and human–robot interaction, with a primary focus on enhancing the safety and reliability of collaborative robotic systems. His most influential work, "Manipulator residual estimation and its application in collision detection" (2018, 20 citations), introduces a novel method for improving collision detection sensitivity while minimizing false alarms in human–robot interaction environments. By addressing the challenge of non-linear uncertainty in robot controller models, Dr. Guo’s approach significantly enhances system performance, enabling safer and more responsive robotic manipulators. This contribution is critical for advancing industrial automation and collaborative robotics, where precise and dependable interaction between humans and machines is paramount. His research not only provides practical solutions for real-world applications but also lays the groundwork for future innovations in robot safety and control. Dr. Guo’s work is highly regarded for its technical rigor and practical impact, making him a key figure in the ongoing evolution of human–robot collaboration.