🤖 AI Summary
Traditional soft grippers rely on external fluid sources, limiting portability and long-term autonomy. This work introduces a self-contained, energy-autonomous soft gripper that achieves actuation via liquid redistribution among three interconnected bistable inversion chambers. Upon object contact, deformation of the top sensing chamber triggers rapid inversion of the gripping chambers, enabling size-selective grasping; concurrently, the gripper passively modulates grip force according to object stiffness. We present the first bistable fluidic actuation architecture requiring no sustained energy input, uniquely integrating tactile sensing and actuation without external pumps, valves, or real-time control. Experimental results demonstrate robust, low-power grasping across diverse object sizes and stiffnesses. The gripper is validated for underwater and field-deployable lightweight, long-duration autonomous sampling tasks.
📝 Abstract
Conventional fluid-driven soft grippers typically depend on external sources, which limit portability and long-term autonomy. This work introduces a self-contained soft gripper with fixed size that operates solely through internal liquid redistribution among three interconnected bistable snap-through chambers. When the top sensing chamber deforms upon contact, the displaced liquid triggers snap-through expansion of the grasping chambers, enabling stable and size-selective grasping without continuous energy input. The internal hydraulic feedback further allows passive adaptation of gripping pressure to object stiffness. This source-free and compact design opens new possibilities for lightweight, stiffness-adaptive fluid-driven manipulation in soft robotics, providing a feasible approach for targeted size-specific sampling and operation in underwater and field environments.