Lu Feng

Papers

Total Citations

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About

Lu Feng is a researcher specializing in robotics and computer vision, with a focus on intelligent manipulation systems. Her key research areas include vision-based robotic grasping, object detection, and manipulator control. Her most notable contribution is the development of a manipulator grasping method that integrates visual feedback to address the challenge of accurate object grasping when a robot encounters changes in object position and pose during static grasping operations. This work, published in 2020, proposes a comprehensive framework combining camera detection with robotic control, laying groundwork for more adaptive and precise robotic manipulation. While her citation count of 3 reflects the emerging nature of her research, her work addresses a fundamental problem in industrial and service robotics—enabling robots to handle dynamic object configurations. Lu Feng's research is particularly relevant for applications in automated manufacturing, logistics, and assistive robotics, where reliable grasping under varying conditions is critical. Her contributions represent an important step toward more versatile and autonomous robotic systems capable of operating in unstructured environments.