SOURCE-LINKED INTELLIGENCE

Robust Underwater Grasping of Sloped Objects with a Waterproof Passive Adaptive Gripper

arXiv · AI, language, vision and robotics · article · Sep 11, 2026 · UTC

Robust grasping of everyday objects remains challenging for parallel-jaw grippers, particularly when handling sloped or asymmetric items that induce torque-driven rolling and shear slip. These challenges become even more severe in domestic environments such as kitchens, where objects are often wet or submerged, drastically reducing friction between the gripper and the object. To address these issues, we present a waterproof passive adaptive gripper that combines local and global adaptability for high-performance grasping in the submerged environments. The proposed gripper features a fully wate

Read original source ↗ Open in workspace

recordType

paper

region

Global