Hybrid Soft Electrostatic Metamaterial Gripper for Multi-surface, Multi-object Adaptation
Ryo Kanno, Pham H. Nguyen, Joshua Pinskier, David Howard, Sukho Song, Mirko Kovac
TL;DR
The paper tackles the challenge of universal soft gripping by addressing residual peeling forces and limited payload in electroadhesive grippers. It introduces the Soft Electrostatic Metamaterial (SEM) gripper, which combines metamaterial cut patterns with electroadhesion to achieve directional adhesion and controlled preloading, enabling rapid release and higher lifting capability. Through design, optimization (NSGA-II), layer-by-layer fabrication, and extensive experiments, the SEM system demonstrates adhesion directionality up to $65.5\times$ and lifting up to $1617\times$ its weight while handling diverse flat and curved surfaces and deformable objects. This approach yields a lightweight, scalable, multi-surface gripper with practical potential for delicate-to-heavy object manipulation in soft robotics.
Abstract
One of the trendsetting themes in soft robotics has been the goal of developing the ultimate universal soft robotic gripper. One that is capable of manipulating items of various shapes, sizes, thicknesses, textures, and weights. All the while still being lightweight and scalable in order to adapt to use cases. In this work, we report a soft gripper that enables delicate and precise grasps of fragile, deformable, and flexible objects but also excels in lifting heavy objects of up to 1617x its own body weight. The principle behind the soft gripper is based on extending the capabilities of electroadhesion soft grippers through the enhancement principles found in metamaterial adhesion cut and patterning. This design amplifies the adhesion and grasping payload in one direction while reducing the adhesion capabilities in the other direction. This counteracts the residual forces during peeling (a common problem with electroadhesive grippers), thus increasing its speed of release. In essence, we are able to tune the maximum strength and peeling speed, beyond the capabilities of previous electroadhesive grippers. We study the capabilities of the system through a wide range of experiments with single and multiple-fingered peel tests. We also demonstrate its modular and adaptive capabilities in the real-world with a two-finger gripper, by performing grasping tests of up to $5$ different multi-surfaced objects.
