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Beschreibung

Soft robotics is a subfield of robotics that encompasses the design and fabrication of robots with soft and compliant materials. Soft robots represent components like human prosthetics or biomimicking systems. Soft robotics relies on technically astute designs based on the correct choice of materials to enable a level of dexterity not possible with rigid components alone. The basic prime movers (actuators) and perception (sensors) require control systems capable of accommodating imprecise feedback data and often unpredictable reaction times. Mobility in such robots is more akin to entomological or marine systems than conventional guided vehicles.
This reference is a guide to materials and systems used in soft robotics. If features 6 chapters contributed by robotics experts that review fundamental and applied topics that are important for understanding the requirements of soft robotics design projects and the physics of the polymers involved. Chapters are organized for easy reading and include references.

The topics include:

- Aspects of materials processing and engineering for the development of soft robotic devices
- A review on biological gripping principles and their application to robotics
- Information about self-sensing electroadhesive polymer grippers with magnetically controllable surface geometry
- Theoretical and experimental investigations of magnetic hybrid materials
- Modeling and dynamic analysis of a novel rotary soft robotic arm by transfer matrix method
- Design and control of a portable continuum robot for pipe inspection assisted by a rigid manipulator

This book is a suitable reference for scholars and engineers who are seeking knowledge about materials and design principles in soft robotics with its practical applications.

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Table of Contents
BENTHAM SCIENCE PUBLISHERS LTD.
End User License Agreement (for non-institutional, personal use)
Usage Rules:
Disclaimer:
Limitation of Liability:
General:
PREFACE
List of Contributors
Aspects of Materials Processing and Engineering for the Development of Soft Robotic Devices
Abstract
1. INTRODUCTION
1.1. Classification of Compliant Materials for Soft Robotics
1.2. Elastomers
1.3. Dielectric Elastomers
1.4. Fluid Materials
1.5. Liquid Metal Embedded Elastomers
1.6. Hydrogels
CONCLUDING REMARKS
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Learning from Nature: A Review on Biological Gripping Principles and Their Application to Robotics
Abstract
1. Introduction
2. SECTION I – PHYSICAL PRINCIPLES
3. SECTION II – BIOLOGICAL GRIPPING DEVICES
3.1. Hooking Grippers
3.2. Lock-and-key Grippers
3.3. Clamp Grippers
3.4. Sucker Grippers
3.5. Adhesion Grippers
3.6. Frictional Grippers
3.7. Spacer Grippers
4. SECTION III – EVALUATION
4.1. Hooking Grippers
4.2. Lock-and-key Grippers
4.3. Clamp and Spacer Grippers
4.4. Sucker Grippers
4.5. Adhesion-Based Grippers
4.6. Friction-Based Grippers
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENT
References
Self-Sensing Electroadhesive Polymer Gripper with Magnetically Controllable Surface Geometry
Abstract
1. Electroadhesive End Effectors
2. Force development
2.1. Coulomb Effect
2.2. Johnsen-Rahbek Effect
2.3. Electroadhesion Force
2.4. Dielectric Polarization and Relaxation
3. Magnetoactive Polymers
4. Self-sensing
5. Electrically Conductive Thermoplastics
6. Experimental electroadhesion forces
Conclusion
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Theoretical and Experimental Investigations of Magnetic Hybrid Materials with Applications for Locomotion, Manipulation and Sensor Systems in Soft Robotics
Abstract
1. Introduction
1.1. Role of Smart Materials in Soft Robotics
1.2. Magnetic Hybrid Materials
2. Locomotion Systems Based on Magnetic Hybrid Materials
3. Manipulation End-Effectors Based on MAEs
4. Tactile Sensor Based on Ferrofluid
5. SHORT SUMMARY AND DETAILED OUTLOOK
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Modeling and Dynamic Analysis of a Novel Rotary Soft Robotic Arm by Transfer Matrix Method
Abstract
Introduction
Design and kinematic analysis
2.1. The Proposed Design
2.2. Kinematic Model
Transfer Matrix Method
3.1. Fundamental Definition
3.2. Soft Arm Discretization
3.3. Equations of Motion
3.4. TMM Modeling
Results and Discussion
4.1. Soft link with the Constant Cross Section
4-2- ADAMS model
4.3. Soft Link with a Variable Cross Section
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENT
References
Design and Control of a Portable Continuum Robot for Pipe Inspection Assisted by a Rigid Manipulator
Abstract
1. INTRODUCTION
2. DESIGN AND FABRICATION
2.1. Conceptual Design of the Portable Continuum Manipulator
2.2. Actuation Base
2.3. Continuum Arm
2.4. Modular Electronics
2.5. System and Communication System
3. MODELLING AND CONTROL OF PCM
3.1. Forward and Inverse Kinematics
3.2. Position Control Scheme
3.3. Tendon Force Control
4. EXPERIMENTS AND EVALUATION
4.1. Use Case: Pipe Inspection by Using Soft and Rigid Manipulators Cooperatively
CONCLUSION AND OUTLOOK
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Soft Robotics
Edited by
Gareth J. Monkman
Ostbayerische Technische Hochschule Regensburg,
Regensburg,
Germany

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PREFACE

Gareth J. Monkman
Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany

Soft Robotics is a subfield of robotics concerning manipulators designed to have increased compliance and dexterity by minimizing the number of rigid components and mechanisms involved. Soft robots are more akin to living organisms, such as larval stage Lepidoptera rather than the traditional industrial robots with rigid joints. Sometimes, the need to include rigid components leads to a form of hybrid, i.e., a flexible concatenation of rigid elements connected via compliant tendons.

Many soft and flexible materials which may be controlled by means of an external stimulus belong to the family of so-called “smart materials”. It is possible to distinguish between “intelligent” materials, which implies a degree of thinking – i.e., integrated or embedded (soft) microelectronics and “smart” materials which are astute in that they require a simple input stimulus which results in a specific (but different) output without any form of computational interface between input and output.

Soft robotics relies heavily on such smart materials and the necessary means of instrumentation and control. This is not always simple because actuation means vary considerably - Thermal, electrical, magnetic, etc. No robot is viable without closed-loop sensory feedback to enable precise control. This places demands on the integration of sensors for tasks, such as position and force measurement. Furthermore, a suitable forward and inverse kinematic must be devised and implemented to program the manipulator.

One of the first “soft” areas of robotics included object prehension. The ability to acquire an object with either controlled force or controlled compliance is integral to soft robotics. In the meantime, such philosophies have migrated to other areas and now encompass complete robotic concepts.

No single book can claim to be a comprehensive text covering all aspects of soft robotics – the discipline is too wide for such a work. Like most other volumes, this book is a cross-section of some of the more recent advances in soft robotics regarding much of the earlier work. Several chapters in this book are based on work carried out within the DFG special research program for Soft Robotics (SPP2100), whereas others come from a wider range of international authors.

Gareth J. Monkman Ostbayerische Technische Hochschule Regensburg Regensburg Germany

List of Contributors

Amit DasLeibniz-Institut für Polymerforschung Dresden e. V., D-01069, Dresden, GermanyAndreas FeryLeibniz-Institut für Polymerforschung Dresden e. V., D-01069, Dresden, GermanyBingbin YuRobotics Research Group, , Faculty 3, University of Bremen, , Robert-Hooke-Str.1, D-28359, Bremen, GermanyDirk SindersbergerOstbayerische Technische Hochschule Regensburg, Regensburg, GermanyFlorian SchaleTechnical Mechanics Group, Technische Universität Ilmenau, GermanyFrank KirchnerRobotics Research Group, , Faculty 3, University of Bremen, , Robert-Hooke-Str.1, D-28359, Bremen, Germany German Research Center for Artificial Intelligence, Robotics Innovation Center, Robert-Hooke-Str.1, D-28359 Bremen, GermanyGareth J. MonkmanOstbayerische Technische Hochschule Regensburg, Regensburg, GermanyGert HeinrichTechnische Universität Dresden, Institut für Textilmaschinen und Textile Hochleistung-swerkstofftechnik, Hohe Straße 6, 01069 Dresden, GermanyInjamamul AriefLeibniz-Institut für Polymerforschung Dresden e. V., D-01069, Dresden, GermanyJhohan ChavezTechnical Mechanics Group, Technische Universität Ilmenau, Germany Faculty of Mechanical Engineering, Ostbayerische Technische , Hochschule Regensburg, GermanyJ. WinandDepartment of Functional Morphology and Biomechanics, Zoological Institute of the University of Kiel, Am Botanischen Garten 1–9, D-24118 Kiel, GermanyKlaus ZimmermannTechnical Mechanics Group, Technische Universität Ilmenau, GermanyMahdi BamdadMechatronics Research Lab, School of Mechanical and Mechatronics Engineering, Shahrood University of Technology, Shahrood, IranNina PremTechnical Mechanics Group, Technische Universität Ilmenau, GermanyS.N. GorbDepartment of Functional Morphology and Biomechanics, Zoological Institute of the University of Kiel, Am Botanischen Garten 1–9, D-24118 Kiel, GermanyShib Shankar BanerjeeLeibniz-Institut für Polymerforschung Dresden e. V., D-01069, Dresden, Germany Department of Materials Science and Engineering, Indian Institute of Technology Delhi, New Delhi-110016, IndiaT. H. BuscherDepartment of Functional Morphology and Biomechanics, Zoological Institute of the University of Kiel, Am Botanischen Garten 1–9, D-24118 Kiel, GermanyTatiana BeckerTechnical Mechanics Group, Technische Universität Ilmenau, GermanyValter BöhmFaculty of Mechanical Engineering, Ostbayerische Technische , Hochschule Regensburg, Germany

Aspects of Materials Processing and Engineering for the Development of Soft Robotic Devices

Shib Shankar Banerjee1,2,Injamamul Arief1,Andreas Fery1,Gert Heinrich3,Amit Das1,*
1 Leibniz-Institut für Polymerforschung Dresden e. V., D-01069, Dresden, Germany
2 Department of Materials Science and Engineering, Indian Institute of Technology Delhi, New Delhi-110016, India
3 Technische Universität Dresden, Institut für Textilmaschinen und Textile Hochleistung-swerkstofftechnik, Hohe Straße 6, 01069 Dresden, Germany

Abstract

The development of soft materials for various smart applications, such as in soft robotic devices derived from elastomers, naturally occurring rubbers and polymers, can be traced back to 1940s. Contrary to conventional robotics, soft robotic research was primarily dedicated to reproducing and mimicking the elasticity and compliance of biological substrates. In the last few decades, however, subsequent progress in soft robotic devices and manipulators has been witnessed within the subcategories of material & processing, sensor and actuators. In this chapter, a comprehensive introduction to soft robotics engineering is highlighted exclusively from the perspective of materials development. Soft material prototypes are eventually exploited towards designing biomimetic prosthetic devices with sensing capabilities and soft actuating bodies. We present an elaborate discussion on soft materials engineering, including elastomers, polymer composites containing fillers and associated processing methodologies. Despite high flexibility and inherent biocompatibility, conventional soft elastomer-based (silicone and polyurethane) matrices often suffer from either poor mechanical strength or reduced mechanical output at higher temperatures. This review briefly summarizes and critically discusses the different types of compliant materials, i.e. elastomers, fluids, gels and others, which are currently being employed in soft robotics. This chapter also highlights new opportunities and paves some potential avenues to address several challenges, particularly the ones concerning and soft robotic materials. Moreover, utilization of soft rubber for sensors and other applications could ameliorate the versatility of soft material applications. Therefore, challenges and future direction in soft robotics research have to be explicitly integrated within the subdomain of materials development and processing and, therefore, addressed in-depth in this chapter, with an emphasis on autonomous soft robotic arms capable of stimuli-responsive operations.

Keywords: Crosslinking of elastomers, Elastomer composites, Elastomer processing, Mechanical properties, Network stability, Soft elastomeric materials.
*Corresponding author Amit Das: Leibniz-Institut für Polymerforschung Dresden e. V., D-01069, Dresden, Germany; Fax: +49 351 4658-362; Tel: +49 351 4658-579; E-mail: [email protected]

1. INTRODUCTION

A robot is an automatically controlled, programmable machine having desired abilities to execute movement, perception, and cognition [1-4]. The field of rob-otics has emerged in an effort to create fully adaptable autonomous machines capable of independent movement and interaction with surrounding environments in response to changing conditions. Its ultimate goal is to enhance robotic capabilities in terms of precision movement, accurate motion control, and finally, the level of intelligence. Mainstream robots are mostly designed to be rigid, hard, and inflexible. In such robotic systems, commonly used robotics segments, such as, actuators and sensors are made of rigid electromagnetic components, steel, alloys or semirigid plastics [5-8]. These can bear and support high loading and sustain reliable electrical and mechanical properties under extreme conditions (see chapter 1, Zimmermann et al.). However, in order to create universal and customizable machines capable of performing a wide range of tasks inspired by nature, robots built from soft materials need to be engineered. Furthermore, there is no single machine versatile enough to adequately perform all possible tasks.

Soft robotics is an advanced and sophisticated area of robotics dealing with building robots from easily deformable and highly compliant materials such as fluids, gels, and soft elastomers [1, 9-11]. Soft robots are capable of performing various actions such as squeezing, stretching, growing, and climbing that is not possible for conventional robots [12, 13]. Recently, exploratory research on compliant materials and their functioning mechanism has gained tremendous attention for the soft-matter technologist [13-18]. Development of functional compliant materials for robotic applications is one of the potential areas. Research on compliant materials has been conducted for several applications, e.g. to replace human skin, soft manipulation, development of soft sensors, actuators, etc [13, 19-21]. In the recent past, significant work has been carried out on anthropomorphic and multi-fingered robot hands to develop functional capabilities similar to human hands [22-29]. Most of them used metals and plastics for such application. The important parameters toward selecting a suitable material for the robotic hand are impact force attenuation, conformability and repetitive strain dissipation [30]. Unlike a rigid finger made of metal and semirigid plastics, the use of a compliant material for such applications will be advantageous for several reasons. During object manipulation, a finger made of soft matter will not leave marks on the objects, and its grasping stability will be enhanced. Finally, repetitive strain can be eliminated. However, development of electronic/mechanical skin-based materials mimicking human skin is very challenging.

Considerable progress has been made in recent years in the field of soft robotics, with efforts focused on novel methods of actuation, sensing, design and fabrication [17, 31-41]. This new trend is moving towards soft robotic material systems driven by several objectives like refine potentialities, proprioception capacity, ability to assist very sophisticated tasks like surgery, and finally increased safety for human interaction. The transition from a hard-conventional robot to its soft counterpart mainly depends on its underlying materials. This transition goes along with several challenges on the material side. Materials for soft robotics have, in addition to their functionality, to fulfill several minimum requirements related to high stretchability, flexibility, durability, low power consumption, adaptability for accomplishing tasks and lightweight. Despite the recent progress, in order to advance further in the area of soft robotics and its related applications, new multifunctional compliant materials with a broader range of advanced functionalities must be explored, which are still challenging today. On the other hand, a much deeper understanding of the properties and dynamics of soft materials and deeper insight into their interaction behavior with control systems and the environment have to be explored. These are crucial to achieving the desired robotic behavior in real contexts. There have been some excellent review reports on soft materials for different smart applications [9, 11, 20]. However, these pioneering research works do not specifically discuss in depth the ‘soft and compliant materials’ for robotic system applications. Therefore, the aim of this review is to serve (as an essential background or state-of-the-art) as a guide to materials for the researchers who are working on soft robotics and the corresponding sub-research areas. This review briefly summarizes and critically discusses the different types of compliant materials, such as, elastomers, fluids, gels and others, which are currently being used in soft robotics. This review will also highlight new opportunities and pave some potential avenues to address the robotic material’s challenges. As the dynamic response of the soft materials are often very nonlinear in nature with many degrees of freedom, specific material modeling and development of the constitutive relations for the soft materials as well as their characterization are very crucial to the design of soft robotic components. Therefore, this review also includes a comprehensive survey on the various existing analytical modeling approaches (e.g., pseudo-rigid body model, reduced order model, etc.) used for small-scale deformations and relatively simple geometries as well as numerical modeling based on the finite element analysis (FEA) used for large-scale deformations and the design of relatively complex robotic components. Finally, current challenges and prospects of soft materials and their dynamics for robotic application are critically discussed.

1.1. Classification of Compliant Materials for Soft Robotics

The softness of a matter or device is generally measured according to its compliance value [42]. Therefore, compliance matching, i.e., similar mechanical rigidity, is one of the most important parameters in soft robotics technology [43-46]. The mechanical rigidity of a material can be evaluated by its modulus of elasticity or Young’s modulus (E) which is a measure of resistance to elastic deformation of material upon tensile loading. E is generally estimated in the small deformation (< 0.2% elongation for metals) region, where stress varies linearly with strain. In conventional engineering applications, applied strain is typically small and E is a useful parameter in such cases [47]. However, E has limited relevance in soft robotics and other soft-matter technologies where materials undergo large elastic and/or inelastic and irregular (non-prismatic) shape deformations, with a typically non-linear stress response. Nevertheless, E is a useful parameter for comparing the mechanical rigidity of materials that are applicable in soft robotics. The elastic behavior, yield point and plastic deformation behavior of various classes of materials is shown in Fig. (1A), where the gap between rigid and soft material is clearly highlighted. Fig. (1B) shows Young’s moduli of various materials [48]. Conventional robots are made of rigid and semi-rigid materials such as metals and hard plastics, which have a modulus value greater than 109 Pa [49]. In contrast, soft materials in natural organisms, such as human skin and cartilage, have a modulus in the order of 102–106 Pa [50, 51]. Therefore, the materials in conventional robots have higher rigidity (3–10 orders of magnitude higher) than the materials in natural organisms. This mismatch in mechanical compliance is one of the major factors for the incompatibility of conventional robots for intimate human interaction.

Fig. (1))(a) Elastic properties, yield behavior, and plastic deformation of various materials, (b) Young’s modulus of various classes of materials (the transition from soft to rigid materials) [48].

1.2. Elastomers

An elastomer is a type of amorphous crosslinked polymer of low glass-transition temperature, which has a unique property of ‘elasticity’ along with low elastic modulus and high failure strain [52, 53]. A material is ideally elastic if it returns to its initial shape and size after it is stretched or compressed under an applied load. Elastomers are generally considered as an elastic material [54] since its stress-strain response is typically nonlinear and their elastic strain can completely recover over a period of time after removal of a transient load. Elastomers are also considered to be hyperelastic materials since they can respond elastically when subjected to very large strains.

Elastomers are the most potentially promising materials for soft robotics due to their low elastic moduli, very high stretchability and high elastic resilience. The elastic modulus of elastomers is typically in the range of 0.1-10 MPa, although soft robots are normally composed of highly deformable and compliant materials which typically have moduli in the range 0.1-1.0 MPa [55-57]. In soft robotics, a wide range of elastomers, such as silicones, liquid metal-embedded elastomers, dielectric elastomers, etc. are being widely used for both academic prototypes and initial commercial products due to their compliance, stretchability, elastic resilience, electromechanical efficiency, etc. Poly(di-methylsiloxane) (PDMS) is a class of silicone elastomer that is one of the most popular elastomers in soft robotics due to their low modulus, high strain limit, and relatively low hysteresis between loading and unloading cycles. There are several reports where PDMS is being used as a soft robust material for various soft robotics applications [59, 60]. However, PDMS poses some serious drawbacks, such as contamination issues from the curing process, low tear strength, high air permeability, poor abrasion resistance and limited service-life. Therefore, long-term reliability and performance of robot segments made from PDMS will be poor. In addition, their potential use for practical purposes is also under debate, because of their inherent time and temperature dependent viscoelastic properties, which can lead to unpredicted changes in the performance of the material. Natural and synthetic rubbers can be potential alternatives to address and overcome such problems. However, commercially available rubbers are not suitable for soft robotics due to a lack of adequate softness and functionality. There is a significant challenge to develop soft functional elastomeric materials from commercially available rubbers. By in situ modification of mineral-based filler structures, functional and mechanically adaptive natural elastomeric materials have been recently demonstrated, as shown in Fig. (2) [55, 58]. When robot skin becomes wet, the adaptive rubber skin will adapt its modulus automatically. Super-tough and ultra-soft liquid metal embedded natural rubber based composite materials using industrially viable solid-state mixing and vulcanization methods have recently been developed [61]. It was found that, in addition to substantial boosts in mechanical and elastic performance, the fracture energy of the material was enhanced up to six times after incorporation of liquid metal compared to control vulcanizate without liquid metal, as illustrated in Fig. (3). The balance between high flexibility and enhanced fracture toughness in commercially available elastomers will eventually provoke practical implications for future innovative materials for soft robotics.

Fig. (2))(a) Mechano-Adaptive crosslinked rubber composites comprised of epichlorohydrine (ECO) rubber and calcium sulphate. (b) The composite can be made either soft or hard by heat or water treatment. (c) Storage modulus as a function of CaSO4 content. (reproduced with permission from ACS Publications) [58]. Fig. (3))(a) Fracture toughness properties of super tough and ultra-soft liquid metal embedded functional natural rubber. (b) Comparison of crack growth rate vs tearing energy between unfilled natural rubber (NR) vulcanizate and 50 phr Eutectic Gallium-Indium (EGaIn)-loaded NR vulcanizate (NR−LM50) (reproduced with permission from ACS Publications) [61].

1.3. Dielectric Elastomers

Dielectric elastomers (DEs) belong to the group of electroactive polymers (EAP) - a relatively new class of compliant active materials, which can change its size or shape in response to an electric field [62-64]. EAPs are generally classified into two major classes, dielectric elastomers and ionic EAPs. The later has limited application in soft robotics due to its slow electric response and poor coupling efficiency. On the other hand, dielectric elastomers can be used as soft actuators to be integrated into robotic systems due to their rapid electric response (few milliseconds) and high electromechanical efficiency. DEAs are made of incompressible soft dielectric elastomer membranes, typically silicones or acrylic tape with the thickness of several microns, covered with compliant electrode layers on their top and bottom side to form dynamic capacitors. When an electric field is applied across the electrodes, the elastomer layer becomes thinner in response to the Maxwell stress derived from the electrostatic attraction between the charges on the opposing electrodes. A large electric field-induced deformation is generally obtained from the elastomeric actuator compared to conventional capacitor materials due to the elastomer’s lower mechanical stiffness. As the elastomer is incompressible, in-plane expansion of the DEA can be observed, which leads to voltage-tunable mechanical actuation, i.e. electrical energy We is converted into mechanical energy in the form of electrostatic pressure across the electrodes.

Dielectric elastomer actuators (DEAs) are one of the promising candidates for soft robotics due to their large voltage-induced deformation, fast response, high energy density, lightweight, compact structure and its physical nature like a human muscle [65, 66].

DEAs are being used in various sophisticated soft robotic applications, such as soft robotic gripper structures, aerial robot and humanoid robot applications. Grippers typically comprise an actuator segment with painted electrodes (see chapter 4, Sindersberger & Monkman). Gripper functions are generally controlled by applying a voltage to the actuator. The gripper can be brought closer to the object for grasping when voltage is applied to the actuator. Similarly, the gripper will close and grasp the object for manipulation when the voltage is removed. DEAs are also used for terrestrial robotic applications; for example, it has already been used to develop multilegged robots. A robot consisting of six spring roll actuators was able to achieve a locomotion speed of 13.6 cm/s or two-thirds of its body length per second. Multi degree-of-freedom (DoF) experimental protocols are applied for characterizing soft actuator interaction forces by considering three critical aspects: anchoring conditions, displacement boundary conditions and actuation power. Multi-DoF locomotion can be achieved by programming the actuation sequence of the actuators by patterning the electrodes. Such multi-DoF DEAs are useful for a robotic structure to mimic the walking posture of legged animals [66].

Many studies and significant efforts have been made on materials, design and fabrication in order to enable real-world applications of soft dielectric actuators for robotics applications [67]. In addition, several works have carried out attempts on operational voltages to improve reliability and impart new functionalities [68]. However, there are several challenges that are currently being explored that include the development of freestanding actuators, electronics for free actuators, solid and stretchable electrodes, miniaturization, a combination of synergistic actuation technologies to impart novel functionalities, etc. In addition, there are several challenges on the materials side. In dielectric elastomer technology, a wide variety of rubbers can be used as the dielectric layer [69]. Generally, rubbers are highly viscoelastic materials; therefore, there is a limitation in obtaining adequate thickness which affects the actuator response time. Development of highly elastic materials can help solve such problems. Low viscoelastic and highly elastic materials can be suitable candidates for very high-frequency operation. Furthermore, a rubber string under a predefined strain can be deformed by the application of heat. This principle, driven by the entropic contribution of the rubber chains, can be used for actuation purposes [70].

1.4. Fluid Materials

Fluid is one of the most important compliant and deformable materials and plays an important role in soft actuation, intelligent sensibility, biomimetic functionalities in soft robotics [10, 51]. Several types of fluid material, such as air, liquid metal, water, aqueous electrolytic solutions etc. have been employed in soft robotics. Electrically conductive fluids are the most important compliant materials for soft robotic skin, soft actuators, microfluidic machines, and electronics. Room temperature liquid metals (LMs), such as Galinstan (68.5 wt% gallium, 21.5 wt% indium, and 10 wt% tin) and eutectic gallium indium (EGaIn) (75.5 wt% gallium and 24.5 wt% indium) also represent one of the most promising conducting fluid materials for soft robotics [71]. LM droplets can be altered into a wide range of shapes and sizes under controlled electrochemical reaction conditions. Therefore, LMs can be used as shape-variable fluid elements in designing functional soft machines and smart robots. Recently, it was found that LM can control the shape and motion of LM-based soft robotic segments [72].

Water is also one of the most important fluid materials for soft robotics technology [44]. Various soft actuators are driven by air pressure, temperature, pH, electric field, etc. are also very attractive. However, their response times are often slow. The displacement and response speed of water driven soft fluidic actuators are larger and faster when compared to the usual soft actuators. Water is generally considered as an incompressible fluid with respect to its surrounding elastomer matrix. Therefore, slight displacements to the boundaries of the fluid or surrounding elastomer can lead to rapid changes in fluidic pressure and actuator stiffness. Yuk et al. developed high speed and high force hydraulic-driven hydrogel actuators that allow water to flow out into the surrounding fluid matrix [73]. Such soft actuators are both optically and acoustically transparent due to the similar density and transparency of hydrogel in comparison to seawater. This technology can be promising in designing next-generation biomimetic underwater soft robots based on hydrogels rather than elastomeric and metallic ones in order to study their interactions with surrounding marine organisms. Christianson et al. developed a swimming robot composed of a frameless, transparent, bimorphic dielectric elastomer actuator with fluid electrodes [74]. They demonstrated that water, including the surrounding fluid in submerged devices, can be used as compliant fluid electrodes for dielectric elastomer actuators, giving rise to artificial muscles for engineering underwater soft robots for monitoring and unobtrusive research of marine life.

1.5. Liquid Metal Embedded Elastomers

In soft robotic technology, generally soft electronic materials are promising candidates because of their extraordinary sensing, actuating, and energy harvesting properties [75]. Elastomers are currently one of the most important materials for soft electronic systems. Conventionally, electronic properties of elastomers are tuned by the incorporation of various inorganic fillers such as conducting carbon black (CB), carbon nanotubes, graphene, BaTiO3, TiO2, Ag powder, Ag-coated Ni microspheres, or ceramic micro/nanoparticles, etc [76-80