Shaofeng Wang

Inner Mongolia University of Science and Technology

Papers

Total Citations

H-Index

About

Shaofeng Wang is a researcher specializing in robotics and human-robot interaction, with a particular focus on remote control systems and industrial automation. His most-cited work, "ROS-based remote control of industrial robot joystick" (2022, 9 citations), addresses critical challenges in bridging the gap between robot operating systems (ROS) and industrial control cabinets. Wang's major contribution lies in designing a robust robotic remote control system that enables intuitive joystick-based operation of industrial robots, solving key issues in information exchange and real-time control. This work has practical implications for manufacturing environments where precise, remote manipulation is essential. While his citation count reflects an emerging career, Wang's research demonstrates significant potential in advancing accessible and efficient robotic control interfaces. His focus on integrating ROS with industrial hardware positions him at the intersection of software development and practical automation, making his work relevant for both academic researchers and industry practitioners seeking to modernize factory floor operations.