Zhaohan Chen

Papers

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About

Zhaohan Chen is a rising researcher in intelligent industrial automation and robotic manipulation, with a focus on advancing end-effector design for adaptive grasping. His key contributions center on developing novel mechanical systems that bridge the gap between rigid, conventional grippers and the need for flexible, self-adaptive handling in automated environments. His most notable work, the "Semi-Peaucellier Linkage and Differential Mechanism for Linear Pinching and Self-Adaptive Grasping" (2025), introduces the SP-Diff parallel gripper system—an innovative design that integrates a differential linkage mechanism with a modular symmetric dual-finger configuration. This system achieves linear pinching while enabling self-adaptive grasping, significantly enhancing the adaptability of end-effectors in intelligent industrial settings. Although early in his career, with this paper already garnering 2 citations, Chen’s work demonstrates strong potential for impact in robotics and automation. His research addresses a critical limitation in current technology, offering a practical solution for tasks requiring both precision and adaptability. As he continues to develop his portfolio, Chen is poised to contribute meaningfully to the evolution of robotic grasping systems.