Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

AI-integrated bionic fingertip E-Skin for precision slippage detection in wet environments.

Scientific reports·2026

Same author

Low-Temperature, Sustainable Manufacturing of Printed OTFT Backplanes for Electrophoretic and OLED Displays.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025

Same author

Dual-Functional High-Entropy Polymer Exhibiting Giant Cross-Energy Couplings at Low Fields.

Small science·2025

Same author

Asian diversity in human immune cells.

Cell·2025

Same author

Study on the potential clinical significance of subclinical stent edge effects after drug-eluting stent implantation.

Scientific reports·2025

Same author

Cepharanthine hydrochloride: a novel ferroptosis-inducing agent for prostate cancer treatment.

Frontiers in pharmacology·2025

Search research articles

Related Experiment Video

Updated: May 14, 2025

Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

Published on: June 10, 2020

Artificial Cutaneous Sensing of Object Slippage using Soft Robotics with Closed-Loop Feedback Process.

Tomohito Sekine¹, Yi-Fei Wang¹, Jinseo Hong¹

¹Research Center for Organic Electronics (ROEL) Graduate School of Science and Engineering Yamagata University 3-4-16, Jonan Yonezawa Yamagata 992-8510 Japan.

|April 11, 2025

Summary

This summary is machine-generated.

This study introduces a soft sensor using ferroelectric polymers and nanocarbon materials for dynamic shear force detection in soft robotic grippers. It enables real-time slip detection for improved object handling and control.

Keywords:

cutaneous sensing robotic grippers soft robotics soft sensors tactile feedback system

More Related Videos

Author Spotlight: Enhancing Grasping Abilities for Hemiplegic Patients with Flexible Robotic Limbs

Author Spotlight: Enhancing Grasping Abilities for Hemiplegic Patients with Flexible Robotic Limbs

Published on: October 27, 2023

Rod-based Fabrication of Customizable Soft Robotic Pneumatic Gripper Devices for Delicate Tissue Manipulation

Rod-based Fabrication of Customizable Soft Robotic Pneumatic Gripper Devices for Delicate Tissue Manipulation

Published on: August 2, 2016

Related Experiment Videos

Last Updated: May 14, 2025

Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

Published on: June 10, 2020

Author Spotlight: Enhancing Grasping Abilities for Hemiplegic Patients with Flexible Robotic Limbs

Author Spotlight: Enhancing Grasping Abilities for Hemiplegic Patients with Flexible Robotic Limbs

Published on: October 27, 2023

Rod-based Fabrication of Customizable Soft Robotic Pneumatic Gripper Devices for Delicate Tissue Manipulation

Rod-based Fabrication of Customizable Soft Robotic Pneumatic Gripper Devices for Delicate Tissue Manipulation

Published on: August 2, 2016

Area of Science:

Materials Science
Robotics
Sensor Technology

Background:

Skillful object handling in soft robotics requires advanced tactile sensing.
Real-time measurement of dynamic shear forces is critical for slip detection and interaction control.
Existing soft sensors often lack the sensitivity and speed needed for dynamic shear force detection.

Purpose of the Study:

To develop a soft sensor with a closed-loop feedback system for detecting dynamic shear forces.
To address object slippage issues in soft robotic grippers.
To enhance the capabilities of soft robotic systems through improved tactile sensing.

Main Methods:

Fabrication of a soft sensor using a ferroelectric polymer composite with nanocarbon materials.
Integration of the sensor into a closed-loop feedback system for dynamic shear force measurement.
Testing the sensor's performance in detecting slippage of fragile objects from a soft robotic gripper.

Main Results:

The sensor demonstrated high performance and high-speed response in detecting dynamic shear forces.
The artificial cutaneous sensor exhibited high sensitivity for grasping fragile objects.
The closed-loop feedback system provided effective control, eliminating the need for task-specific training.

Conclusions:

The proposed soft sensor and feedback system significantly improve dynamic shear force detection in soft robotics.
This technology offers a promising solution for enhancing object handling and preventing slippage in soft robotic grippers.
The system has potential applications in biomimetic electronic skin and other advanced soft robotics fields.