https://vbn.aau.dk/ws/files/337950041/robotics_09_00016.pdf

A review on design of upper limb exoskeletons

In part A of this review, we have introduced the progress of the research and the application status of unitized regenerative proton exchange membrane fuel cells. In addition to this Proton Exchange Membrane (PEM)-based Unitized Regenerative Fuel Cell (URFC), other URFC technologies with different electrolytes have also been reported in the literature, which form the basis for emphasis in this part of the review. Unitized Regenerative Alkaline Fuel Cells (UR-AFC) have long been utilized for aerospace applications, while the recent development of Anion Exchange Membrane (AEM) has stimulated their further development, especially on the AEM-based UR-AFCs. Vast research works have been reported on the bifunctional oxygen catalyst development, while the latest UR-AFC prototypes are also being briefly introduced. Despite their potential cost-efficiency and better reactivity, cell performance and round-trip efficiency of the current UR-AFCs are still lower than their PEM-based counterparts. Unitized regenerative solid oxide fuel cell, which is more commonly cited as Reversible Solid Oxide Fuel Cell (RSOFC), is a high-temperature URFC technology with superior performance and reversibility. Review works conducted on this type of URFC are separated into two categories, that is, RSOFC with oxygen ion conducting electrolyte and RSOFC with proton ion conducting electrolyte. Despite the highest efficiency among various URFC technologies, the application of RSOFCs, however, is restricted by their limited long-term stability and poor cycle ability. Unitized regenerative microfluidic fuel cell, also referred to as the reversible microfluidic fuel cell, is a newly-emerging URFC research trend which benefits a lot from its membraneless configuration. However, limited research works have been conducted on this new technology.

/pdf/a-review-on-unitized-regenerative-fuel-cell-technologies-2dvwz5hmna.pdf

A review on unitized regenerative fuel cell technologies, part B: Unitized regenerative alkaline fuel cell, solid oxide fuel cell, and microfluidic fuel cell

http://summit.sfu.ca/system/files/iritems1/16513/etd9599_.pdf

Co-laminar flow cells for electrochemical energy conversion

Paper-based analytical devices are lightweight, inexpensively produced, effective, and easily disposable; allowing for their suitable implementation in resource-limited areas. They allow effective handling of quantitative analysis in a diverse range of areas, from standard healthcare and environmental monitoring to water quality monitoring. Nonetheless, such devices often require an energy source for their complex assays or readings, preventing their effective use. Most commonly, conventional batteries are integrated into the device to serve as an energy source. However, considering its non-environmentally friendly approach to energy generation and its difficulty of being effectively disposed, a search for a new power source has begun. In light of the newly found potential of cellulose-based entities in the energy field, attention has been drawn towards a supposedly unlikely material: paper. Considering the potentials of such technology, this manuscript aims to describe the benefits of current and future technologies of paper-based devices in the energy sector. Here, we discuss the role of paper as a main platform or part of energy storage and conversion devices such as fuel cells, lithium-ion batteries, and alkaline batteries thoroughly.

Paper-based devices for energy applications

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Kinesiology Scientific Basis Of Human Motion

As a result of the difficulties brought by COVID-19 and its associated lockdowns, many individuals and companies have turned to robots in order to overcome the challenges of the pandemic. Compared with traditional human labor, robotic and autonomous systems have advantages such as an intrinsic immunity to the virus and an inability for human-robot-human spread of any disease-causing pathogens, though there are still many technical hurdles for the robotics industry to overcome. This survey comprehensively reviews over 200 reports covering robotic systems which have emerged or have been repurposed during the past several months, to provide insights to both academia and industry. In each chapter, we cover both the advantages and the challenges for each robot, finding that robotics systems are overall apt solutions for dealing with many of the problems brought on by COVID-19, including: diagnosis, screening, disinfection, surgery, telehealth, care, logistics, manufacturing and broader interpersonal problems unique to the lockdowns of the pandemic. By discussing the potential new robot capabilities and fields they applied to, we expect the robotics industry to take a leap forward due to this unexpected pandemic.

/pdf/robots-under-covid-19-pandemic-a-comprehensive-survey-39kp93qjjw.pdf

Robots Under COVID-19 Pandemic: A Comprehensive Survey

Digital twin (DT) and artificial intelligence (AI) technologies have grown rapidly in recent years and are considered by both academia and industry to be key enablers for Industry 4.0. As a digital replica of a physical entity, the basis of DT is the infrastructure and data, the core is the algorithm and model, and the application is the software and service. The grounding of DT and AI in industrial sectors is even more dependent on the systematic and in-depth integration of domain-specific expertise. This survey comprehensively reviews over 300 manuscripts on AI-driven DT technologies of Industry 4.0 used over the past five years and summarizes their general developments and the current state of AI-integration in the fields of smart manufacturing and advanced robotics. These cover conventional sophisticated metal machining and industrial automation as well as emerging techniques, such as 3D printing and human–robot interaction/cooperation. Furthermore, advantages of AI-driven DTs in the context of sustainable development are elaborated. Practical challenges and development prospects of AI-driven DTs are discussed with a respective focus on different levels. A route for AI-integration in multiscale/fidelity DTs with multiscale/fidelity data sources in Industry 4.0 is outlined.

A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics

Due to high degree of freedom and different mechanism foci, hand and arm exoskeletons are usually developed separately and seldom combined together. Hand exoskeletons are typically more complex mechanisms than arm or leg exoskeletons due to the numerous degrees of freedom encapsulated in the hand and the small anatomical structure involved. This study presents the design of a 12 DOF (6 active) reconfigurable hand exoskeleton for rehabilitation that will be installed on the upper limb exoskeletons, EXO-UL8 and BLUE SABINO. Given the mechanism architecture, a nonlinear optimization framework minimizes physical footprint while maximizing mechanism isotropy and device functionality.

/pdf/design-of-a-hand-exoskeleton-for-use-with-upper-limb-35i55zsgyk.pdf

Design of a Hand Exoskeleton for Use with Upper Limb Exoskeletons

Theoretical Graetz–Damköhler modeling of an air-breathing microfluidic fuel cell

In a dual arm therapeutic regime aiming to rehabilitate motor functions post stroke, both the affected arm (paretic) and the unaffected (non-paretic) arm are involved. In this context, the leading idea is that motor functions of the affected arm during a reaching task may be improved if the unaffected arm has already reached the target. As part of this pilot study, one chronic post-stroke patient with weakness and spasticity on his right arm conducted reaching tasks to virtual targets arranged in a $5\times 3$ matrix located parallel to his frontal plane, in two different configurations: (1) affected arm only (without assistance from the exoskeleton); (2) unaffected arm first followed by the affected arm (2a) without, and (2b) with assistance. A force field attracting the wrist of the affected arm to the target was used in the assistive mode. The data post-processing and analysis included task completion time, reachable task space, joint range of motion, human-robot interaction force/torque and power exchange at multiple sensors along the arm - visualized in a series of interaction maps. The data validated the robotic system's basic functionality in facilitating post-stroke unilateral and asymmetric bilateral training. Future work would be expanded to clinical trials with more subjects to be recruited and additional features to be implemented.

/pdf/asymmetric-dual-arm-approach-for-post-stroke-recovery-of-55doy4a4ib.pdf

Yang Shen

Papers

Robots Under COVID-19 Pandemic: A Comprehensive Survey

A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics

Design of a Hand Exoskeleton for Use with Upper Limb Exoskeletons

Theoretical Graetz–Damköhler modeling of an air-breathing microfluidic fuel cell

Asymmetric Dual Arm Approach For Post Stroke Recovery Of Motor Functions Utilizing The EXO-UL8 Exoskeleton System: A Pilot Study