夹持器
抓住
软机器人
计算机科学
抽吸
对象(语法)
接口(物质)
机器人
水下
比例(比率)
接触力
人工智能
模式(计算机接口)
仿生学
容器(类型理论)
吸盘
机械工程
测距
气泡
工程类
压力传感器
模拟
顺应机制
软质材料
控制工程
机械手
触觉传感器
计算机视觉
作者
Jianshu Zhou,Jing Shu,Jing Shu,Jing Shu,Tianle Pan,Puchen Zhu,Jiajun An,Huayu Zhang,Junda Huang,Upinder Kaur,Xin Ma,Xin Ma,Masayoshi Tomizuka
出处
期刊:Soft robotics
[Mary Ann Liebert, Inc.]
日期:2025-12-03
卷期号:13 (2): 178-189
被引量:2
标识
DOI:10.1177/21695172251400144
摘要
Grasping objects across vastly different sizes and physical states—including both solids and liquids—with a single robotic gripper remain a fundamental challenge in soft robotics. We present the Everything-Grasping (EG) Gripper, a soft end-effector that synergistically integrates distributed surface suction with internal granular jamming, enabling cross-scale and cross-state manipulation without requiring airtight sealing at the contact interface with target objects. The EG Gripper can handle objects with surface areas ranging from submillimeter scale 0.2 mm 2 (glass bead) to over 62,000 mm 2 (A4-sized paper and woven bag), enabling manipulation of objects nearly 3500 × smaller and 88 × larger than its own contact area (approximated at 707 mm 2 for a 30 mm diameter base). We further introduce a tactile sensing framework that combines liquid detection and pressure-based suction feedback, enabling real-time differentiation between solid and liquid targets. Guided by the Tactile-Inferred Grasping Mode Selection algorithm, the gripper autonomously selects grasping modes based on distributed pressure and voltage signals. Experiments across diverse tasks—including underwater grasping, fragile object handling, and liquid capture—demonstrate robust and repeatable performance. To our knowledge, this is the first soft gripper to reliably grasp both solid and liquid objects across scales using a unified compliant architecture.
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