Zihao Luo

Papers

Total Citations

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About

Zihao Luo is a researcher specializing in robotics and intelligent control systems, with a particular focus on adaptive manipulation and precision manufacturing. His most cited work, "Adaptive Hybrid Impedance Control Algorithm Based on Subsystem Dynamics Model for Robot Polishing" (2019), has garnered 8 citations, establishing a foundation for advanced robotic surface finishing. Luo’s core contributions lie in developing hybrid control strategies that integrate impedance and force control, enabling robots to perform delicate tasks like polishing with enhanced accuracy and adaptability. By modeling subsystem dynamics, his algorithm addresses the challenge of maintaining stable contact and consistent surface quality in automated manufacturing, a critical need for industries such as aerospace and automotive. This work demonstrates his ability to bridge theoretical control theory with practical robotic applications. Luo’s research impacts the broader field of human-robot collaboration and industrial automation, offering solutions that improve efficiency and reduce manual labor in high-precision environments. His achievements highlight a commitment to advancing intelligent robotic systems, making him a notable figure in adaptive control and manufacturing robotics.