Weixing Ouyang

Wuhan University of Science and Technology

Papers

Total Citations

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About

Weixing Ouyang is a researcher at the forefront of intelligent robotics and computer vision, with a primary focus on autonomous robotic grasping and multi-object detection. His work addresses critical challenges in enabling robots to perceive and interact with complex, cluttered environments. Ouyang’s most notable contribution is the development of an autonomous grasping system that integrates a depth camera, a two-finger parallel gripper, and a six-degree-of-freedom robotic arm, leveraging deep learning for robust object recognition and localization. This system, detailed in his highly cited 2021 paper on RGB-D image-based grasping, overcomes the poor performance of traditional methods in complex scenes, achieving reliable grasp planning even when objects are partially occluded or overlapping. With his work accumulating over 10 citations, Ouyang’s research is pivotal for advancing practical applications in warehouse automation, manufacturing, and service robotics. By combining multi-object detection with precise grasp synthesis, he is helping to bridge the gap between perception and action, making robots more capable of handling real-world tasks. His contributions are essential reading for students and researchers interested in the intersection of deep learning, 3D vision, and robotic manipulation.