Jinye Song

Papers

Total Citations

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About

Jinye Song is an emerging researcher in the field of intelligent robotics and embedded systems, with a focus on automation and sensor integration. Their most-cited work, "Design of An Intelligent Transfer Robot with Color Recognition" (2021), demonstrates a practical application of microcontroller technology—specifically the STM32F103C8T6 chip—to create a robot capable of object manipulation and color-based sorting. By employing PWM control for motors and steering gears, and integrating grayscale sensors for color detection, Song’s design bridges the gap between low-cost hardware and functional automation. Though early in their career, with 2 citations on this paper, the work highlights a hands-on approach to solving real-world industrial or logistical challenges, such as automated material handling. Song’s contribution lies in making intelligent transfer systems more accessible, offering a blueprint for students and hobbyists to explore robotics. This project reflects a growing interest in embedded AI and sensor-driven automation, positioning Song as a promising voice in the next wave of robotics innovation.