Ren-Jie Chen

Papers

Total Citations

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About

Ren-Jie Chen is a robotics researcher whose work centers on intelligent manipulation systems for industrial automation. His primary research areas include robotic grasping, moving object prediction, and bin pick-and-place systems, with a strong emphasis on real-world deployment using the Robot Operating System (ROS). Chen’s most cited paper, “Moving Object Prediction and Grasping System of Robot Manipulator” (2022, 32 citations), presents a novel system that enables a two-finger gripper to accurately grasp objects in motion on conveyors and rotating platforms—a critical capability for modern manufacturing lines. In his second highly cited work, “Generic Development of Bin Pick-and-Place System Based on Robot Operating System” (2022, 20 citations), Chen developed a flexible, ROS-based framework for six-degree-of-freedom manipulators to perform multiple pick-and-place tasks from bins, addressing key challenges in factory and warehouse automation. These contributions demonstrate Chen’s ability to bridge perception, prediction, and control in dynamic environments, offering scalable solutions that reduce engineering overhead. With a total of over 50 citations from these two papers alone, Chen is establishing himself as a promising voice in applied robotics, particularly in making robotic manipulation more adaptive and industrially viable.