Soft Gripper
Soft grippers are robotic end-effectors designed for compliant and adaptable grasping, primarily aiming to safely manipulate objects of diverse shapes, sizes, and materials. Current research emphasizes improving grasping success rates through multimodal data fusion (combining visual and tactile sensing), advanced control algorithms (like Koopman operator theory and stable inversion), and innovative designs incorporating variable stiffness, multistability, and bio-inspired mechanisms. These advancements are significant for expanding robotic capabilities in delicate tasks across various fields, including agriculture, manufacturing, and healthcare, where gentle and adaptable manipulation is crucial.
Papers
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