Pengyong Cao

East China University of Science and Technology

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Total Citations

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About

Pengyong Cao is a researcher focused on advancing robotic manipulation, particularly in complex and dynamic environments. His work centers on the critical challenge of obstacle avoidance for robotic arms, where he develops strategies and algorithms to enhance operational efficiency and capability. In his notable 2021 study, "Research on Obstacle Avoidance Strategy and Method of UR Manipulator," Cao addresses the limitations of six-degree-of-freedom manipulators in cluttered settings, proposing innovative approaches to improve real-time path planning and collision prevention. This contribution has garnered attention, with 2 citations, reflecting its relevance to industrial automation and robotics. Cao’s research is pivotal for applications ranging from manufacturing to service robotics, where safe and efficient arm movement is essential. By tackling the obstacle avoidance problem, he helps bridge the gap between theoretical robotics and practical deployment, making his work valuable for students and engineers seeking to enhance robotic autonomy. His ongoing efforts promise to further refine manipulator performance in challenging workspaces.