Wenyu Bai

Ministry of Education, Zhejiang University of Technology

Papers

Total Citations

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About

Wenyu Bai is a robotics researcher whose work bridges soft robotics and industrial automation, with a particular focus on compliant grasping and precision manipulation. Their most notable contribution is the development of a **pneumatic webbed soft gripper** (2021, 15 citations), inspired by the webbed feet of ducks and the dexterity of octopus tentacles. This design enables robots to grasp unstructured, fragile objects—such as food and fruit—without causing damage, addressing a long-standing challenge in robotic manipulation. Bai’s work leverages the inherent compliance of soft materials to achieve safe, adaptive grasping in unstructured environments. In parallel, Bai has advanced **industrial robotics** through an enhanced positional error compensation method for rock drilling robots (2022, 11 citations). By combining LightGBM and Radial Basis Function Networks (RBFN), they tackled the complex, nonlinear errors arising from heavy loads, large spans, and multi-joint manipulators in tunnel construction. This work significantly improves drilling accuracy and efficiency, reducing labor intensity in demanding environments. With a growing citation record and a focus on both bio-inspired design and machine learning-driven error correction, Bai’s research demonstrates a rare ability to innovate across soft and rigid robotic systems, making their work highly relevant for students and researchers in robotics, manufacturing, and automation.