Mingyu Chen

Wuhan University of Science and Technology

Papers

Total Citations

H-Index

About

Mingyu Chen is a researcher at the forefront of industrial robotics, specializing in the integration of 3D visual perception, natural language interaction, and process control technologies. His work focuses on developing intelligent, human-robot collaborative systems that enhance automation in manufacturing environments. Chen’s major contribution lies in designing automatic sorting and operating systems that enable industrial robots to perceive their surroundings in three dimensions and interpret natural language commands, bridging the gap between human operators and machines. His most cited paper, "Automatic sorting system for industrial robot with 3D visual perception and natural language interaction" (2019, 16 citations), presents a novel framework that combines computer vision and sensor technology to streamline sorting tasks, demonstrating significant potential for real-world industrial applications. Additionally, his earlier work, "A Natural Language Interaction Based Automatic Operating System for Industrial Robot" (2018), laid foundational concepts for voice-controlled robotic operations. Though early in his career, Chen’s research is gaining traction, offering practical solutions for smarter, more adaptive automation. His work is particularly valuable for students and researchers exploring the intersection of robotics, AI, and human-machine interaction.