Wu Dongyu

North China University of Technology, Beijing City University

Papers

Total Citations

H-Index

About

Wu Dongyu is a robotics researcher whose work centers on advancing perception and coordination for intelligent robotic systems. A key contribution lies in object detection for soft robotic manipulation, where they proposed a novel method using RGB-D sensor fusion and ORB-SLAM2 for environment reconstruction, enabling more precise grasping—a foundational step for deformable and adaptive robotics. Equally impactful is their work on cooperative motion planning for dual industrial robots, where they tackled the complex challenge of coordinating position and posture constraints between two manipulators. By developing an offline programming-based solution, Wu Dongyu addressed a critical bottleneck in deploying dual-arm systems for intricate assembly and manufacturing tasks. Though early in their career, with each of these papers garnering 5 citations, the work demonstrates a clear trajectory toward solving real-world industrial and soft robotics problems. Their research bridges computer vision, sensor integration, and motion planning, offering practical frameworks that are essential for the next generation of collaborative and autonomous robotic systems.