Yingjie Liu
Papers
1
Total Citations
4
H-Index
1
About
Yingjie Liu is a researcher whose work bridges industrial robotics and embedded systems, with a focus on enhancing autonomous perception and adaptive decision-making in manufacturing environments. His key research areas include robotic color recognition, dynamic path planning, and embedded control systems for industrial automation. Liu’s most cited work, “Color recognition and dynamic decision-making model of 6 axis of industrial robot based on embedded system” (2017), addresses a critical limitation in industrial robotics: the inability to perceive and respond to changing environmental conditions in real time. By integrating a color sensor with the Raspberry Pi embedded system, he developed a model that enables robots to dynamically adjust their operation and trajectory based on visual input, significantly improving adaptability and efficiency. This contribution has garnered 4 citations, reflecting its relevance to ongoing efforts in smart manufacturing and human–robot collaboration. Liu’s work exemplifies the practical application of embedded systems to solve real-world automation challenges, offering a foundation for future research in sensor-driven robotic intelligence.
Research Focus
Key Achievements
Top Papers
- 1