Yumin Song

Papers

Total Citations

H-Index

About

Yumin Song is a researcher at the forefront of intelligent robotics and automation, with key contributions spanning bionic locomotion, agricultural robotics, and the Internet of Things (IoT). Song’s most cited work, "Motion Control Method of Bionic Robot Dog Based on Vision and Navigation Information" (2023, 5 citations), addresses a critical challenge in industrial automation: enabling bionic robots to perform high-precision tasks by integrating vision and navigation data to overcome spatial disturbances. This research directly supports the deployment of AI-driven robot dogs in complex engineering environments. In parallel, Song’s 2021 study on "Research on Automatic Control of Agricultural Robot Trajectory Optimization Based on Mathematical Model" (3 citations) introduces mathematical modeling to enhance the efficiency and accuracy of agricultural robots, reducing operational errors during automated farming tasks. Additionally, Song’s work on "Application RFID and Wi-Fi Technology in Design of IOT Sensor Terminal" (2 citations) advances precision agriculture by designing an IoT-based perception system for picking robots, integrating RFID and Wi-Fi for real-time data collection. Together, these contributions demonstrate Song’s commitment to bridging theoretical models with practical, real-world automation solutions in both industrial and agricultural settings.