Utilizing Spatially Varying Fiber Arrays in Soft Morphing Surfaces for Grasping Applications

Abstract Soft robotic grippers have the potential for dexterous manipulation of delicate, irregularly shaped objects that conventional end effectors lack the finesse to handle; however, the infinite dimensionality resulting from the compliance of soft materials increases the complexity of achieving controlled deformation. To address this, we present a method for introducing a structure into soft bodies using discontinuous, spatially varying fiber arrays to create morphing surfaces. We demonstrate this approach through the design of a novel soft robotic gripper, in which eccentric reinforcement within a flat circular membrane induces coupled vertical and lateral deformations upon inflation. This forms a finger-like manipulator, an actuation pattern not typically achieved in similarly shaped membrane-based actuators. Multiple membrane actuators were coordinated to perform diverse grasping tasks, successfully lifting both lightweight (3.8 g) deformable objects and heavier (1.2 kg) rigid items, demonstrating the versatility of the design. The principles established in this work offer a scalable framework for embedding functional anisotropy in soft actuators to enable complex, task-oriented deformations while retaining material compliance.

Authors

Institutions

Publication Details

Journal
Journal of Mechanisms and Robotics
Published
2026-04-06
DOI
https://doi.org/10.1115/1.4071597
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Utilizing Spatially Varying Fiber Arrays in Soft Morphing Surfaces for Grasping Applications

Nick Sholl, Austin Moss, Kamran Mohseni
Journal of Mechanisms and Robotics
Soft Robotics and Applications
article

Utilizing Spatially Varying Fiber Arrays in Soft Morphing Surfaces for Grasping Applications

Nick Sholl, Austin Moss, Kamran Mohseni
article en

Abstract

Abstract Soft robotic grippers have the potential for dexterous manipulation of delicate, irregularly shaped objects that conventional end effectors lack the finesse to handle; however, the infinite dimensionality resulting from the compliance of soft materials increases the complexity of achieving controlled deformation. To address this, we present a method for introducing a structure into soft bodies using discontinuous, spatially varying fiber arrays to create morphing surfaces. We demonstrate this approach through the design of a novel soft robotic gripper, in which eccentric reinforcement within a flat circular membrane induces coupled vertical and lateral deformations upon inflation. This forms a finger-like manipulator, an actuation pattern not typically achieved in similarly shaped membrane-based actuators. Multiple membrane actuators were coordinated to perform diverse grasping tasks, successfully lifting both lightweight (3.8 g) deformable objects and heavier (1.2 kg) rigid items, demonstrating the versatility of the design. The principles established in this work offer a scalable framework for embedding functional anisotropy in soft actuators to enable complex, task-oriented deformations while retaining material compliance.

Journal of Mechanisms and RoboticsVol. 18(6)
University of Florida (US), Florida College (US)
Openalex Percentile: Top 29%
Soft Robotics and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Utilizing Spatially Varying Fiber Arrays in Soft Morphing Surfaces for Grasping Applications — Nick Sholl, Austin Moss, et al. · Journal of Mechanisms and Robotics (2026) | TGRS Research Map | TGRS