Structured Pneumatic Fingerpads for Actively Tunable Grip Friction

Grip surfaces with tunable friction can actively modify contact conditions, enabling transitions between higher-and lower-friction states for grasp adjustment. Friction can be increased to grip securely and then decreased to gently release (e.g., for handovers) or manipulate in-hand. Recent friction-tuning surface designs using soft pneumatic chambers show good control over grip friction; however, most require complex fabrication processes and/or custom gripper hardware. We present a practical structured fingerpad design for friction tuning that uses less than $1 USD of materials, takes only seconds to repair, and is easily adapted to existing grippers. Our design uses surface morphology changes to tune friction. The fingerpad is actuated by pressurizing its internal chambers, thereby deflecting its flexible grip surface out from or into these chambers. We characterize the friction-tuning capabilities of our design by measuring the shear force required to pull an object from a gripper equipped with two independently actuated fingerpads. Our results show that varying actuation pressure and timing changes the magnitude of friction forces on a gripped object by up to a factor of 2.8. We demonstrate additional features including macro-scale interlocking behaviour and pressure-based object detection.

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Publication Details

Published
2025-04-22
DOI
https://doi.org/10.1109/robosoft63089.2025.11020883
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
0.00

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article

Structured Pneumatic Fingerpads for Actively Tunable Grip Friction

Jonathan Kelly, Benjamin D. Hatton, Katelyn F. Allison
Robot Manipulation and Learning
article

Structured Pneumatic Fingerpads for Actively Tunable Grip Friction

Jonathan Kelly, Benjamin D. Hatton, Katelyn F. Allison
article en

Abstract

Grip surfaces with tunable friction can actively modify contact conditions, enabling transitions between higher-and lower-friction states for grasp adjustment. Friction can be increased to grip securely and then decreased to gently release (e.g., for handovers) or manipulate in-hand. Recent friction-tuning surface designs using soft pneumatic chambers show good control over grip friction; however, most require complex fabrication processes and/or custom gripper hardware. We present a practical structured fingerpad design for friction tuning that uses less than $1 USD of materials, takes only seconds to repair, and is easily adapted to existing grippers. Our design uses surface morphology changes to tune friction. The fingerpad is actuated by pressurizing its internal chambers, thereby deflecting its flexible grip surface out from or into these chambers. We characterize the friction-tuning capabilities of our design by measuring the shear force required to pull an object from a gripper equipped with two independently actuated fingerpads. Our results show that varying actuation pressure and timing changes the magnitude of friction forces on a gripped object by up to a factor of 2.8. We demonstrate additional features including macro-scale interlocking behaviour and pressure-based object detection.

University of Toronto (CA)
Canada Research Chairs
Openalex Percentile: Top 86%
Robot Manipulation and Learning
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Structured Pneumatic Fingerpads for Actively Tunable Grip Friction — Jonathan Kelly, Benjamin D. Hatton, et al. · (2025) | TGRS Research Map | TGRS