A review of soft manipulator research, applications, and opportunities

2021 ◽  
Author(s):  
Xiaoqian Chen ◽  
Xiang Zhang ◽  
Yiyong Huang ◽  
Lu Cao ◽  
Jinguo Liu
Keyword(s):  
2021 ◽  
Vol 11 (6) ◽  
pp. 2558
Author(s):  
Mario Troise ◽  
Matteo Gaidano ◽  
Pierpaolo Palmieri ◽  
Stefano Mauro

The rising interest in soft robotics, combined to the increasing applications in the space industry, leads to the development of novel lightweight and deployable robotic systems, that could be easily contained in a relatively small package to be deployed when required. The main challenges for soft robotic systems are the low force exertion and the control complexity. In this manuscript, a soft manipulator concept, having inflatable links, is introduced to face these issues. A prototype of the inflatable link is manufactured and statically characterized using a pseudo-rigid body model on varying inflation pressure. Moreover, the full robot model and algorithms for the load and pose estimation are presented. Finally, a control strategy, using inverse kinematics and an elastostatic approach, is developed. Experimental results provide input data for the control algorithm, and its validity domain is discussed on the basis of a simulation model. This preliminary analysis puts the basis of future advancements in building the robot prototype and developing dynamic models and robust control.


2016 ◽  
Vol 21 (6) ◽  
pp. 2977-2982 ◽  
Author(s):  
Hesheng Wang ◽  
Runxi Zhang ◽  
Weidong Chen ◽  
Xinwu Liang ◽  
Rolf Pfeifer

2020 ◽  
Vol 56 (9) ◽  
pp. 36 ◽  
Author(s):  
YAO Ligang ◽  
LI Jingyi ◽  
DONG Hui

2015 ◽  
Vol 35 (8) ◽  
pp. 1000-1019 ◽  
Author(s):  
Andrew D. Marchese ◽  
Russ Tedrake ◽  
Daniela Rus

The goal of this work is to develop a soft-robotic manipulation system that is capable of autonomous, dynamic, and safe interactions with humans and its environment. First, we develop a dynamic model for a multi-body fluidic elastomer manipulator that is composed entirely from soft rubber and subject to the self-loading effects of gravity. Then, we present a strategy for independently identifying all of the unknown components of the system; these are the soft manipulator, its distributed fluidic elastomer actuators, as well as the drive cylinders that supply fluid energy. Next, using this model and trajectory-optimization techniques we find locally-optimal open-loop policies that allow the system to perform dynamic maneuvers we call grabs. In 37 experimental trials with a physical prototype, we successfully perform a grab 92% of the time. Last, we introduce the idea of static bracing for a soft elastomer arm and discuss how forming environmental braces might be an effective manipulation strategy for this class of robots. By studying such an extreme example of a soft robot, we can begin to solve hard problems inhibiting the mainstream use of soft machines.


2016 ◽  
Vol 1 (2) ◽  
pp. 632-637 ◽  
Author(s):  
Ali Shiva ◽  
Agostino Stilli ◽  
Yohan Noh ◽  
Angela Faragasso ◽  
Iris De Falco ◽  
...  
Keyword(s):  

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yinglong Chen ◽  
Wenshuo Li ◽  
Yongjun Gong

Purpose The purpose of this paper is to estimate the deformation of soft manipulators caused by obstacles accurately and the contact force and workspace can be also predicted. Design/methodology/approach The continuum deformation of the backbone of the soft manipulator under contact is regarded as two constant curvature arcs and the curvatures are different according to the fluid pressure and obstacle location based on piecewise constant curvature framework. Then, this study introduces introduce the moment balance and energy conservation equation to describe the static relationship between driving moment, elastic moment and contact moment. Finally, simulation and experiments are carried out to verify the accuracy of the proposed model. Findings For rigid manipulators, environmental contact except for the manipulated object was usually considered as a “collision” which should be avoided. For soft manipulators, an environment is an important tool for achieving manipulation goals and it might even be considered to be a part of the soft manipulator’s end-effector in some specified situations. Research limitations/implications There are also some limitations to the presented study. Although this paper has made progress in the static modeling under environmental contact, some practical factors still limit the further application of the model, such as the detection accuracy of the environment location and the deformation of the contact surface. Originality/value Based on the proposed kinematic model, the bending deformation with environmental contact is discussed in simulations and has been experimentally verified. The comparison results show the correctness and accuracy of the presented SCC model, which can be applied to predict the slender deformation under environmental contact without knowing the contact force.


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