Additive Manufactured Sensitive Gripper Jaw for Extended Gripping Force Ranges in Robotics

In this contribution, we present a novel additive manufactured sensitive gripper jaw based on strain gauge technology for extended gripping force ranges in robotics up to 40 N using Fused Layer Manufacturing. The present sensor design is based on an arbitrary number of bending beams arranged one above the other, based on a single point load cell. With this multiple bending beam structure, it is possible to individually reduce the mechanical stresses while maintaining the same deflection of the gripper jaw and enabling parallel gripping of parts. By varying the number of bending beams, it is also possible to adapt the measurement range accordingly. The investigations focus on the general sensor design, the fabrication process, and the sensor behavior in terms of zero-point deviation, characteristic value deviation, linearity behavior, repeatability, and viscoelastic behavior. The results show that higher gripping force measurement ranges are possible with good sensor linearity of 0.14 % of full scale. The arising viscoelastic behavior can be attributed to the properties of plastics. Nevertheless, this sensor is suitable for gripping force measurement in most industrial robot applications.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2025-07-14
DOI
https://doi.org/10.1109/jsen.2025.3586583
Citations
2
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
2.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Additive Manufactured Sensitive Gripper Jaw for Extended Gripping Force Ranges in Robotics

Thomas M. Wendt, Thomas Seifert, Stefan J. Rupitsch, Nikolai Hangst
2 citations
IEEE Sensors Journal
Robot Manipulation and Learning
2.43
article

Additive Manufactured Sensitive Gripper Jaw for Extended Gripping Force Ranges in Robotics

Thomas M. Wendt, Thomas Seifert, Stefan J. Rupitsch, Nikolai Hangst
article en
2 citations

Abstract

In this contribution, we present a novel additive manufactured sensitive gripper jaw based on strain gauge technology for extended gripping force ranges in robotics up to 40 N using Fused Layer Manufacturing. The present sensor design is based on an arbitrary number of bending beams arranged one above the other, based on a single point load cell. With this multiple bending beam structure, it is possible to individually reduce the mechanical stresses while maintaining the same deflection of the gripper jaw and enabling parallel gripping of parts. By varying the number of bending beams, it is also possible to adapt the measurement range accordingly. The investigations focus on the general sensor design, the fabrication process, and the sensor behavior in terms of zero-point deviation, characteristic value deviation, linearity behavior, repeatability, and viscoelastic behavior. The results show that higher gripping force measurement ranges are possible with good sensor linearity of 0.14 % of full scale. The arising viscoelastic behavior can be attributed to the properties of plastics. Nevertheless, this sensor is suitable for gripping force measurement in most industrial robot applications.

IEEE Sensors JournalVol. 25(16)
University of Freiburg (DE), Offenburg University of Applied Sciences (DE)
Affordable and clean energy
Openalex Percentile: Top 11%
Robot Manipulation and Learning
2.43
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.

Additive Manufactured Sensitive Gripper Jaw for Extended Gripping Force Ranges in Robotics — Thomas M. Wendt, Thomas Seifert, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS