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.

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adma.201707035

Soft Robotic Grippers.

In this paper, we present a comprehensive review of hand exoskeleton technologies for rehabilitation and assistive engineering, from basic hand biomechanics to actuator technologies. Because of rapid advances in mechanical designs and control algorithms for electro-mechanical systems, exoskeleton devices have been developed significantly, but are still limited to use in larger body areas such as upper and lower limbs. However, because of their requirements for smaller size and rich tactile sensing capabilities, hand exoskeletons still face many challenges in many technical areas, including hand biomechanics, neurophysiology, rehabilitation, actuators and sensors, physical human-robot interactions and ergonomics. This paper reviews the state-of-the-art of active hand exoskeletons for applications in the areas of rehabilitation and assistive robotics. The main requirements of these hand exoskeleton devices are also identified and the mechanical designs of existing devices are classified. The challenges facing an active hand exoskeleton robot are also discussed.

Current hand exoskeleton technologies for rehabilitation and assistive engineering

Biological systems can perform complex tasks with high compliance levels. This makes them a great source of inspiration for soft robotics. Indeed, the union of these fields has brought about bioinspired soft robotics, with hundreds of publications on novel research each year. This review aims to survey fundamental advances in bioinspired soft actuators and sensors with a focus on the progress between 2017 and 2020, providing a primer for the materials used in their design.

Materials, Actuators, and Sensors for Soft Bioinspired Robots

Microelectromechanical system (MEMS) reveals excellent flexibility and adaptability in miniaturization devices owing to its compact dimension, low power consumption, and fine performance As a typical type of miniaturization tool, MEMS-based robotic microgripper has been widely employed in the manipulation of tiny micro-objects, material characterizations, and so on This paper presents the state-of-the-art survey of prevalent MEMS-based actuation and sensing techniques, which can be applied in microgrippers Five main types of actuators are reviewed in this survey, namely, electro-thermal actuators, electrostatic actuators, shape memory alloy actuators, piezoelectric actuators, and electromagnetic actuators A review of recent sensing techniques is also conducted, which includes four popular sensing approaches in terms of capacitive sensors, electrothermal sensors, piezoresistive sensors, and piezoelectric sensors Their advantages, disadvantages, and applications have been discussed in detail Some perspectives on the future development are presented

A review on actuation and sensing techniques for MEMS-based microgrippers

Grasping and manipulation are fundamental ways for many creatures to interact with their environments. Different morphologies and grasping methods of "grippers" are highly evolved to adapt to harsh survival conditions. For example, human hands and bird feet are composed of rigid frames and soft joints. Compared with human hands, some plants like Drosera do not have rigid frames, so they can bend at arbitrary points of the body to capture their prey. Furthermore, many muscular hydrostat animals and plant tendrils can implement more complex twisting motions in 3D space. Recently, inspired by the flexible grasping methods present in nature, increasingly more bio-inspired soft grippers have been fabricated with compliant and soft materials. Based on this, the present review focuses on the recent research progress of bio-inspired soft grippers based on impactive gripping. According to their types of movement and a classification model inspired by biological "grippers", soft grippers are classified into three types, namely, non-continuum bending-type grippers, continuum bending-type grippers, and continuum twisting-type grippers. An exhaustive and updated analysis of each type of gripper is provided. Moreover, this review offers an overview of the different stiffness-controllable strategies developed in recent years.

Bio-Inspired Soft Grippers Based on Impactive Gripping.

The goal of this work is to develop a microgripper using electroactive ionic polymer metal composite (IPMC) as an actuator to grasp and manipulate micro-sized flexible and rigid objects. We derive a theoretical force model for the microgripper that estimates that an IPMC finger exerts a force of 85 μN when grasping a solder ball of 15 mg, and experimentally verify the result. We also show empirically that the relationship between load carrying capability and the length of microgripper fingers is linear. Finally, we show how flexible objects (hydrogels in this case) are grasped with this IPMC microgripper.

Design and test of IPMC artificial muscle microgripper

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Design and test of IPMC artificial muscle microgripper