Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Soft Robotic Grippers

View through CrossRef
Abstract Advances in soft robotics, materials science, and stretchable electronics have enabled rapid progress in soft grippers. Here, a critical overview of soft robotic grippers is presented, covering different material sets, physical principles, and device architectures. Soft gripping can be categorized into three technologies, enabling grasping by: a) actuation, b) controlled stiffness, and c) controlled adhesion. A comprehensive review of each type is presented. Compared to rigid grippers, end‐effectors fabricated from flexible and soft components can often grasp or manipulate a larger variety of objects. Such grippers are an example of morphological computation, where control complexity is greatly reduced by material softness and mechanical compliance. Advanced materials and soft components, in particular silicone elastomers, shape memory materials, and active polymers and gels, are increasingly investigated for the design of lighter, simpler, and more universal grippers, using the inherent functionality of the materials. Embedding stretchable distributed sensors in or on soft grippers greatly enhances the ways in which the grippers interact with objects. Challenges for soft grippers include miniaturization, robustness, speed, integration of sensing, and control. Improved materials, processing methods, and sensing play an important role in future research.
Title: Soft Robotic Grippers
Description:
Abstract Advances in soft robotics, materials science, and stretchable electronics have enabled rapid progress in soft grippers.
Here, a critical overview of soft robotic grippers is presented, covering different material sets, physical principles, and device architectures.
Soft gripping can be categorized into three technologies, enabling grasping by: a) actuation, b) controlled stiffness, and c) controlled adhesion.
A comprehensive review of each type is presented.
Compared to rigid grippers, end‐effectors fabricated from flexible and soft components can often grasp or manipulate a larger variety of objects.
Such grippers are an example of morphological computation, where control complexity is greatly reduced by material softness and mechanical compliance.
Advanced materials and soft components, in particular silicone elastomers, shape memory materials, and active polymers and gels, are increasingly investigated for the design of lighter, simpler, and more universal grippers, using the inherent functionality of the materials.
Embedding stretchable distributed sensors in or on soft grippers greatly enhances the ways in which the grippers interact with objects.
Challenges for soft grippers include miniaturization, robustness, speed, integration of sensing, and control.
Improved materials, processing methods, and sensing play an important role in future research.

Related Results

A SYSTEMATIC REVIEW ON PNEUMATIC GRIPPING DEVICES FOR INDUSTRIAL ROBOTS
A SYSTEMATIC REVIEW ON PNEUMATIC GRIPPING DEVICES FOR INDUSTRIAL ROBOTS
Based on the literature review, the article presents the analysis of approaches to classifying Gripping Devices (GDs) of Industrial Robots (IRs) and substantiates the need for syst...
Development of Smart Robotic Grippers Using Tactile Sensors
Development of Smart Robotic Grippers Using Tactile Sensors
The advancement of industrial automation, intelligent manufacturing, and service robotics has increased the need for adaptive robotic grippers capable of handling delicate and irre...
Between the Classes of Soft Open Sets and Soft Omega Open Sets
Between the Classes of Soft Open Sets and Soft Omega Open Sets
In this paper, we define the class of soft ω0-open sets. We show that this class forms a soft topology that is strictly between the classes of soft open sets and soft ω-open sets, ...
Weaker Forms of Soft Regular and Soft T2 Soft Topological Spaces
Weaker Forms of Soft Regular and Soft T2 Soft Topological Spaces
Soft ω-local indiscreetness as a weaker form of both soft local countability and soft local indiscreetness is introduced. Then soft ω-regularity as a weaker form of both soft regul...
Boolean Algebra of Soft Q-Sets in Soft Topological Spaces
Boolean Algebra of Soft Q-Sets in Soft Topological Spaces
We define soft Q-sets as soft sets whose soft closure and soft interior are commutative. We show that the soft complement, soft closure, and soft interior of a soft Q-set are all s...
Evaluating the Cost for Robotic vs “Non-Robotic” Transhiatal Esophagectomy
Evaluating the Cost for Robotic vs “Non-Robotic” Transhiatal Esophagectomy
Introduction This study was undertaken to analyze and compare the cost of robotic transhiatal esophagectomy (THE) to “non-robotic” THE (ie, “open” and laparosco...
Advanced Technologies and Applications of Robotic Soft Grippers
Advanced Technologies and Applications of Robotic Soft Grippers
AbstractThe robotic soft gripper is a significant and expanding area of study. It is primarily a unique gadget that interacts with the external environment in a certain actuating m...
Soft Complete Continuity and Soft Strong Continuity in Soft Topological Spaces
Soft Complete Continuity and Soft Strong Continuity in Soft Topological Spaces
In this paper, we introduce soft complete continuity as a strong form of soft continuity and we introduce soft strong continuity as a strong form of soft complete continuity. Sever...

Back to Top