Papers
6
Total Citations
243
H-Index
5
About
Linyuan Wu is a leading researcher in soft robotics, specializing in the design and control of adaptive, multifunctional grippers and robotic hands. Their work centers on integrating variable-stiffness structures, such as layer jamming mechanisms, with tendon-driven and pneumatic actuation to create grippers that can switch between multiple grasping modes—enabling both delicate and robust manipulation. Wu’s most-cited paper, “Multimode Grasping Soft Gripper Achieved by Layer Jamming Structure and Tendon-Driven Mechanism” (119 citations), introduces a hybrid approach that significantly expands the versatility of soft grippers for industrial and logistics applications. They have also advanced sensor integration, using machine learning to process data from optical fiber curvature sensors for multi-modal perception in soft hands, as detailed in a 2019 paper with 53 citations. By developing optimal control schemes for pneumatic actuators and hybrid valve pressure control methods, Wu has addressed key challenges in precision and compliance. Their contributions to variable-stiffness hands and trigger-based dexterous operation demonstrate a sustained impact on making soft robots more capable and autonomous, with a growing citation record that reflects the field’s high interest in their innovations.
Research Focus
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Top Papers
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