变形
干扰
抽吸
计算机科学
工程类
机械工程
人工智能
物理
热力学
作者
Kieran Gilday,Ryman Hashem,Arsen Abdulali,Fumiya Iida
标识
DOI:10.1109/robosoft55895.2023.10121982
摘要
Soft grippers have demonstrated significant improvements in grasping in unstructured environments and grasping delicate objects. However, there are limitations preventing more widespread real-world use, from low holding force, high control complexity in diverse object sets, and challenges picking in clutter and more. We present a soft adaptive suction cup design-featuring a morphing granular jamming cup augmented by a suction-based ‘Xeno-Tongue’-which can pick and handle diverse objects under a variety of environmental constraints, or lack of. The gripper combines soft suction with an in-built pulling mechanism, i.e., the tongue provides active pulling for automatic suction cup shape adaptation to objects independent of the surrounding environment. We characterise and predict the grasping performance on a series of benchmarking surfaces. Additionally, grasping real-world objects, in clutter and a simulated harvesting environment, using an unmodified control strategy demonstrates adaptability and agility for rapid application in agriculture and other industries.
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