An untethered soft robotic gripper with high payload-to-weight ratio

Li, Haili; Yao, Jiantao; Wei, Chunjie; Zhou, Pan; Xu, Yundou; Zhao, Yongsheng

doi:10.1016/j.mechmachtheory.2020.104226

Cited by 38 publications

(14 citation statements)

References 36 publications

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“…Some interesting work have been the utilization of deformable rotors in multi-rotors [89], compliant joints and/or drone arms [21,38,57,87,90,91], and physically reprogrammable structures such as origami, kirigami, or tensegrity [3,53,[92][93][94][95]. Soft manipulators, due to their compliances have also been utilized as landing gears as well as grippers [96][97][98][99][100][101][102][103][104]. In the future, we project other PAI enabled methods such as the utilization of active variable stiffness structures to maintain compliance when absorbing collision with the environment, but remain stiff while flying.…”

Section: Pai Adaptation In Impact and Collision Resiliencymentioning

confidence: 99%

Adopting Physical Artificial Intelligence in Soft Aerial Robots

Nguyen

Kovač

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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In recent years, there has been a lot more attention towards the utilization of physically intelligent features in robotics. In this work, we provide a perspective on the physical artificial intelligence (PAI) paradigm and its impact on the conceptualization, design, and manufacturing of current and future aerial robots and infrastructure. We highlight the theory, enabling technologies, system features, and the tasks that the PAI paradigm will improve beyond the current approaches with conventional rigid aerial robots. We also discuss the multi-disciplinary effort required to collaborate with and educate researchers in the development of physically intelligent robots. PAI promises to lead the development of a new era of robust flying robotic organisms that are capable of adapting to and performing multi-functional tasks autonomously in a complex and unstructured environment. Aerial robotics is a great field of study to validate PAI as a development methodology.

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Section: Pai Adaptation In Impact and Collision Resiliencymentioning

confidence: 99%

Adopting Physical Artificial Intelligence in Soft Aerial Robots

Nguyen

Kovač

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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“…Waterproof and low cost: With new robotic technologies such as origami-inspired design/production and pneumatic actuation, soft robotic systems, made from deformable PVC materials, are capable of high payload/mass ratio, demonstrate high reliability and scalability, are waterproof, and can be easily integrated into existing equipment. They can also be built at a relatively low cost [16][17][18].…”

Section: An Illustrative Use Casementioning

confidence: 99%

A Suite of Robotic Solutions for Nuclear Waste Decommissioning

et al. 2021

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Dealing safely with nuclear waste is an imperative for the nuclear industry. Increasingly, robots are being developed to carry out complex tasks such as perceiving, grasping, cutting, and manipulating waste. Radioactive material can be sorted, and either stored safely or disposed of appropriately, entirely through the actions of remotely controlled robots. Radiological characterisation is also critical during the decommissioning of nuclear facilities. It involves the detection and labelling of radiation levels, waste materials, and contaminants, as well as determining other related parameters (e.g., thermal and chemical), with the data visualised as 3D scene models. This paper overviews work by researchers at the QMUL Centre for Advanced Robotics (ARQ), a partner in the UK EPSRC National Centre for Nuclear Robotics (NCNR), a consortium working on the development of radiation-hardened robots fit to handle nuclear waste. Three areas of nuclear-related research are covered here: human–robot interfaces for remote operations, sensor delivery, and intelligent robotic manipulation.

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“…However, as they are lightweight, soft actuators unfortunately have a poor payload [ 37 ]. Therefore, efforts are continually being made to improve the payload-to-weight ratio [ 37 , 38 , 39 ]. Unlike rigid-type wearables, soft exoskeletons are not well-equipped to provide augmentative forces but have been particularly useful in rehabilitation applications [ 40 , 41 ] that supplement the user’s strength.…”

Section: Introductionmentioning

confidence: 99%

A Critical Review on Factors Affecting the User Adoption of Wearable and Soft Robotics

Ang

Yeow

Lim

2023

Sensors

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In recent years, the advent of soft robotics has changed the landscape of wearable technologies. Soft robots are highly compliant and malleable, thus ensuring safe human-machine interactions. To date, a wide variety of actuation mechanisms have been studied and adopted into a multitude of soft wearables for use in clinical practice, such as assistive devices and rehabilitation modalities. Much research effort has been put into improving their technical performance and establishing the ideal indications for which rigid exoskeletons would play a limited role. However, despite having achieved many feats over the past decade, soft wearable technologies have not been extensively investigated from the perspective of user adoption. Most scholarly reviews of soft wearables have focused on the perspective of service providers such as developers, manufacturers, or clinicians, but few have scrutinized the factors affecting adoption and user experience. Hence, this would pose a good opportunity to gain insight into the current practice of soft robotics from a user’s perspective. This review aims to provide a broad overview of the different types of soft wearables and identify the factors that hinder the adoption of soft robotics. In this paper, a systematic literature search using terms such as “soft”, “robot”, “wearable”, and “exoskeleton” was conducted according to PRISMA guidelines to include peer-reviewed publications between 2012 and 2022. The soft robotics were classified according to their actuation mechanisms into motor-driven tendon cables, pneumatics, hydraulics, shape memory alloys, and polyvinyl chloride muscles, and their pros and cons were discussed. The identified factors affecting user adoption include design, availability of materials, durability, modeling and control, artificial intelligence augmentation, standardized evaluation criteria, public perception related to perceived utility, ease of use, and aesthetics. The critical areas for improvement and future research directions to increase adoption of soft wearables have also been highlighted.

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An untethered soft robotic gripper with high payload-to-weight ratio

Cited by 38 publications

References 36 publications

Adopting Physical Artificial Intelligence in Soft Aerial Robots

Adopting Physical Artificial Intelligence in Soft Aerial Robots

A Suite of Robotic Solutions for Nuclear Waste Decommissioning

A Critical Review on Factors Affecting the User Adoption of Wearable and Soft Robotics

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