Yunmao Yang

East China University of Science and Technology

Papers

Total Citations

H-Index

About

Yunmao Yang is a researcher focused on advancing robotic manipulation, particularly in obstacle avoidance and autonomous decision-making for complex environments. His most-cited work, "Research on Obstacle Avoidance Strategy and Method of UR Manipulator" (2021), addresses a critical challenge in robotics: enabling six-degree-of-freedom manipulators to navigate cluttered workspaces efficiently. By developing novel strategies and algorithms, Yang contributes to improving the operational efficiency and capability of robotic arms, with direct implications for industrial automation and collaborative robotics. Though his citation count is currently modest at 2, his work lays foundational groundwork for safer, more adaptive robotic systems. Yang’s research sits at the intersection of control theory, sensor integration, and path planning, offering practical solutions for real-world deployment. His focus on UR manipulators—widely used in research and industry—underscores the applied nature of his contributions. As the demand for intelligent, collision-free robotic motion grows, Yang’s early work signals a promising trajectory in enhancing human-robot collaboration and autonomous manufacturing.