Yunong Wang

Papers

Total Citations

H-Index

About

Yunong Wang’s research centers on human-robot interaction, particularly through voice-controlled systems and dual-arm robotic platforms. His most cited work, “Voice control dual arm robot based on ROS system” (2018, 15 citations), demonstrates a practical integration of speech recognition and robotic control. In this project, Wang developed a custom dual-arm robot controlled via voice commands using the Robot Operating System (ROS), leveraging iFLYTEK’s speech recognition package. He built the robot’s physical model in SolidWorks and converted it to URDF format for simulation and control. This work showcases his ability to bridge hardware design and software implementation, making robotic systems more intuitive and accessible. Wang’s contributions are significant for advancing user-friendly interfaces in robotics, with potential applications in assistive technology and collaborative manufacturing. His approach—combining off-the-shelf speech tools with custom robotic hardware—offers a replicable framework for researchers exploring voice-controlled automation. While his citation count is modest, the practical, hands-on nature of his work highlights a commitment to real-world robotic solutions that lower the barrier to human-robot collaboration.