Chunyan Dai

Papers

Total Citations

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About

Chunyan Dai is a robotics researcher whose work bridges mechanical design, control systems, and computer vision. Her most cited paper, "Case Study of Robot Arm Billiards" (2023), exemplifies her hands-on approach to applied robotics, demonstrating how custom 3D-printed grippers, integrated drive and control circuits, and camera-based perception can enable a robotic arm to perform the complex, precision task of playing billiards. Though early in her career, with this work accruing 3 citations, Dai’s contribution lies in the practical integration of hardware and software—designing a specialized end-effector and the underlying control architecture to achieve real-world manipulation. Her research speaks to the growing field of robotic dexterity and task-specific automation, where off-the-shelf arms are augmented with tailored mechanisms and sensing. Dai’s work offers a tangible example of how robotics can be adapted for recreational and precision-demanding applications, and it serves as a foundation for future studies in adaptive gripper design and vision-guided motion planning. As she continues to develop, her focus on functional, real-world robotic systems positions her as an emerging voice in applied robotics and mechatronics.