Biao Cheng

Anhui University of Science and Technology, New Jersey Institute of Technology

Papers

Total Citations

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About

Biao Cheng is a robotics researcher whose work bridges mechanical design and control systems for industrial automation. His primary research areas include robotic gripper design, rigid–flexible coupling structures, and high-speed motion control firmware. Cheng’s major contribution lies in developing a casting sorting robot gripper with rigid–flexible coupling structures, drawing on robot topology theory and the second-order Yeoh model to enhance adaptability for small- and medium-sized casting operations. This work, published in 2024 with 3 citations, addresses a critical gap in sorting automation. Earlier, Cheng contributed to the foundational design of motion control firmware for high-speed robotic systems (2004, 2 citations), focusing on integrating multi-modal sensing, multi-axis motion, and complex algorithms into robust hardware and software platforms. His research demonstrates a sustained interest in improving robot dexterity and control efficiency, from early firmware architectures to recent bionic gripper innovations. While his citation counts are modest, Cheng’s work is notable for its practical engineering focus, targeting real-world challenges in manufacturing and sorting. His combination of theoretical modeling with applied firmware development offers valuable insights for students and researchers interested in industrial robotics, mechatronics, and adaptive manipulation systems.