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Orban M, Guo K, Yang H, Hu X, Hassaan M, Elsamanty M. Soft pneumatic muscles for post-stroke lower limb ankle rehabilitation: leveraging the potential of soft robotics to optimize functional outcomes. Front Bioeng Biotechnol 2023; 11:1251879. [PMID: 37781541 PMCID: PMC10539589 DOI: 10.3389/fbioe.2023.1251879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 08/31/2023] [Indexed: 10/03/2023] Open
Abstract
Introduction: A soft pneumatic muscle was developed to replicate intricate ankle motions essential for rehabilitation, with a specific focus on rotational movement along the x-axis, crucial for walking. The design incorporated precise geometrical parameters and air pressure regulation to enable controlled expansion and motion. Methods: The muscle's response was evaluated under pressure conditions ranging from 100-145 kPa. To optimize the muscle design, finite element simulation was employed to analyze its performance in terms of motion range, force generation, and energy efficiency. An experimental platform was created to assess the muscle's deformation, utilizing advanced techniques such as high-resolution imaging and deep-learning position estimation models for accurate measurements. The fabrication process involved silicone-based materials and 3D-printed molds, enabling precise control and customization of muscle expansion and contraction. Results: The experimental results demonstrated that, under a pressure of 145 kPa, the y-axis deformation (y-def) reached 165 mm, while the x-axis and z-axis deformations were significantly smaller at 0.056 mm and 0.0376 mm, respectively, highlighting the predominant elongation in the y-axis resulting from pressure actuation. The soft muscle model featured a single chamber constructed from silicone rubber, and the visually illustrated and detailed geometrical parameters played a critical role in its functionality, allowing systematic manipulation to meet specific application requirements. Discussion: The simulation and experimental results provided compelling evidence of the soft muscle design's adaptability, controllability, and effectiveness, thus establishing a solid foundation for further advancements in ankle rehabilitation and soft robotics. Incorporating this soft muscle into rehabilitation protocols holds significant promise for enhancing ankle mobility and overall ambulatory function, offering new opportunities to tailor rehabilitation interventions and improve motor function restoration.
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Affiliation(s)
- Mostafa Orban
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China
- Mechanical Department, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt
| | - Kai Guo
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China
| | - Hongbo Yang
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China
| | - Xuhui Hu
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China
| | - Mohamed Hassaan
- Mechanical Department, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt
| | - Mahmoud Elsamanty
- Mechanical Department, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt
- Mechatronics and Robotics Department, School of Innovative Design Engineering, Egypt-Japan University of Science and Technology, Alexandria, Egypt
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Fanti V, Sanguineti V, Caldwell DG, Ortiz J, Di Natali C. Assessment methodology for human-exoskeleton interactions: Kinetic analysis based on muscle activation. Front Neurorobot 2022; 16:982950. [PMID: 36386390 PMCID: PMC9643542 DOI: 10.3389/fnbot.2022.982950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/22/2022] [Indexed: 11/29/2022] Open
Abstract
During the development and assessment of an exoskeleton, many different analyzes need to be performed. The most frequently used evaluate the changes in muscle activations, metabolic consumption, kinematics, and kinetics. Since human-exoskeleton interactions are based on the exchange of forces and torques, the latter of these, kinetic analyzes, are essential and provide indispensable evaluation indices. Kinetic analyzes, however, require access to, and use of, complex experimental apparatus, involving many instruments and implicating lengthy data analysis processes. The proposed methodology in this paper, which is based on data collected via EMG and motion capture systems, considerably reduces this burden by calculating kinetic parameters, such as torque and power, without needing ground reaction force measurements. This considerably reduces the number of instruments used, allows the calculation of kinetic parameters even when the use of force sensors is problematic, does not need any dedicated software, and will be shown to have high statistical validity. The method, in fact, combines data found in the literature with those collected in the laboratory, allowing the analysis to be carried out over a much greater number of cycles than would normally be collected with force plates, thus enabling easy access to statistical analysis. This new approach evaluates the kinetic effects of the exoskeleton with respect to changes induced in the user's kinematics and muscular activation patterns and provides indices that quantify the assistance in terms of torque (AMI) and power (API). Following the User-Center Design approach, which requires driving the development process as feedback from the assessment process, this aspect is critical. Therefore, by enabling easy access to the assessment process, the development of exoskeletons could be positively affected.
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Affiliation(s)
- Vasco Fanti
- Department of Advanced Robotics (ADVR), Istituto Italiano di Tecnologia (IIT), Genova, Italy
- *Correspondence: Vasco Fanti
| | - Vittorio Sanguineti
- Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), Università degli Studi di Genova (UniGe), Genova, Italy
| | - Darwin G. Caldwell
- Department of Advanced Robotics (ADVR), Istituto Italiano di Tecnologia (IIT), Genova, Italy
| | - Jesús Ortiz
- Department of Advanced Robotics (ADVR), Istituto Italiano di Tecnologia (IIT), Genova, Italy
| | - Christian Di Natali
- Department of Advanced Robotics (ADVR), Istituto Italiano di Tecnologia (IIT), Genova, Italy
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3
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Otálora S, Ballen-Moreno F, Arciniegas-Mayag L, Cifuentes CA, Múnera M. Biomechanical Effects of Adding an Ankle Soft Actuation in a Unilateral Exoskeleton. BIOSENSORS 2022; 12:bios12100873. [PMID: 36291010 PMCID: PMC9599070 DOI: 10.3390/bios12100873] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/01/2022] [Accepted: 09/05/2022] [Indexed: 06/01/2023]
Abstract
Stroke disease leads to a partial or complete disability affecting muscle strength and functional mobility. Early rehabilitation sessions might induce neuroplasticity and restore the affected function or structure of the patients. Robotic rehabilitation minimizes the burden on therapists by providing repetitive and regularly monitored therapies. Commercial exoskeletons have been found to assist hip and knee motion. For instance, unilateral exoskeletons have the potential to become an effective training system for patients with hemiparesis. However, these robotic devices leave the ankle joint unassisted, essential in gait for body propulsion and weight-bearing. This article evaluates the effects of the robotic ankle orthosis T-FLEX during cooperative assistance with the AGoRA unilateral lower-limb exoskeleton (hip and knee actuation). This study involves nine subjects, measuring muscle activity and gait parameters such as stance and swing times. The results showed a reduction in muscle activity in the Biceps Femoris of 50%, Lateral Gastrocnemius of 59% and Tibialis Anterior of 35% when adding T-FLEX to the AGoRA unilateral lower-limb exoskeleton. No differences were found in gait parameters. Nevertheless, stability is preserved when comparing the two legs. Future works should focus on evaluating the devices in ground tests in healthy subjects and pathological patients.
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Affiliation(s)
- Sophia Otálora
- Graduate Program of Electrical Engineering, Federal University of Espirito Santo, Vitoria 29075-910, Brazil
| | - Felipe Ballen-Moreno
- Robotics & Multibody Mechanics (R&MM) Research Group, Department of Mechanical Engineering, Vrije Universiteit Brussel, 1050 Brussels, Belgium
- Flanders Make, 1050 Brussels, Belgium
| | - Luis Arciniegas-Mayag
- Graduate Program of Electrical Engineering, Federal University of Espirito Santo, Vitoria 29075-910, Brazil
| | - Carlos A. Cifuentes
- Bristol Robotics Laboratory, University of the West of England, Bristol BS16 1QY, UK
- School of Engineering, Science and Technology, Universidad del Rosario, Bogota 111711, Colombia
| | - Marcela Múnera
- Department of Biomedical Engineering, Colombian School of Engineering Julio Garavito, Bogota 111166, Colombia
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4
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Shi Y, Guo M, Zhong H, Ji X, Xia D, Luo X, Yang Y. Kinetic Walking Energy Harvester Design for a Wearable Bowden Cable-Actuated Exoskeleton Robot. MICROMACHINES 2022; 13:mi13040571. [PMID: 35457876 PMCID: PMC9024901 DOI: 10.3390/mi13040571] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 03/30/2022] [Accepted: 03/31/2022] [Indexed: 02/04/2023]
Abstract
Over the past few decades, wearable exoskeletons of various forms have been developed to assist human activities or for rehabilitation of movement disorders. However, sustainable exoskeletons with efficient energy harvesting devices still have not been fully explored. In this paper, we propose the design of a lightweight wearable Bowden-cable-actuated soft exoskeleton robot with energy harvesting capability. Unlike previous wearable exoskeletons, the presented exoskeleton uses an electromagnetic generator to both harvest biomechanical energy and to output mechanical torque by controlling an operation mode relay switch based on a human’s gait. Moreover, the energy-harvesting module also acts as a knee impact absorber for the human, where the effective damping level can be modulated in a controlled manner. The harvested energy is regulated and stored in super capacitors for powering wireless sensory devices when needed. The experimental results show an average of a 7.91% reduction in thigh muscle activity, with a maximum of 3.2 W of electric power being generated during movement downstairs. The proposed design offers important prospects for the realization of lightweight wearable exoskeletons with improved efficiency and long-term sustainability.
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Affiliation(s)
- Yunde Shi
- Department of Mechanical Engineering, Southeast University, Nanjing 210096, China; (Y.S.); (M.G.); (D.X.); (X.L.)
| | - Mingqiu Guo
- Department of Mechanical Engineering, Southeast University, Nanjing 210096, China; (Y.S.); (M.G.); (D.X.); (X.L.)
| | - Heran Zhong
- Department of General Mechanics and Fundamentals of Mechanics, College of Engineering, Peking University, Beijing 100871, China;
| | - Xiaoqiang Ji
- Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hongkong, Shenzhen 518172, China;
| | - Dan Xia
- Department of Mechanical Engineering, Southeast University, Nanjing 210096, China; (Y.S.); (M.G.); (D.X.); (X.L.)
| | - Xiang Luo
- Department of Mechanical Engineering, Southeast University, Nanjing 210096, China; (Y.S.); (M.G.); (D.X.); (X.L.)
| | - Yuan Yang
- Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
- Correspondence: ; Tel.: +86-188-5100-2776
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5
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Martinez-Hernandez U, Metcalfe B, Assaf T, Jabban L, Male J, Zhang D. Wearable Assistive Robotics: A Perspective on Current Challenges and Future Trends. SENSORS (BASEL, SWITZERLAND) 2021; 21:6751. [PMID: 34695964 PMCID: PMC8539021 DOI: 10.3390/s21206751] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 09/30/2021] [Accepted: 10/06/2021] [Indexed: 11/16/2022]
Abstract
Wearable assistive robotics is an emerging technology with the potential to assist humans with sensorimotor impairments to perform daily activities. This assistance enables individuals to be physically and socially active, perform activities independently, and recover quality of life. These benefits to society have motivated the study of several robotic approaches, developing systems ranging from rigid to soft robots with single and multimodal sensing, heuristics and machine learning methods, and from manual to autonomous control for assistance of the upper and lower limbs. This type of wearable robotic technology, being in direct contact and interaction with the body, needs to comply with a variety of requirements to make the system and assistance efficient, safe and usable on a daily basis by the individual. This paper presents a brief review of the progress achieved in recent years, the current challenges and trends for the design and deployment of wearable assistive robotics including the clinical and user need, material and sensing technology, machine learning methods for perception and control, adaptability and acceptability, datasets and standards, and translation from lab to the real world.
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Affiliation(s)
- Uriel Martinez-Hernandez
- Multimodal Inte-R-Action Lab, University of Bath, Bath BA2 7AY, UK;
- Centre for Autonomous Robotics (CENTAUR), University of Bath, Bath BA2 7AY, UK; (B.M.); (T.A.); (D.Z.)
- Centre for Biosensors, Bioelectronics and Biodevices (C3Bio), University of Bath, Bath BA2 7AY, UK;
- Department of Electronics and Electrical Engineering, University of Bath, Bath BA2 7AY, UK
| | - Benjamin Metcalfe
- Centre for Autonomous Robotics (CENTAUR), University of Bath, Bath BA2 7AY, UK; (B.M.); (T.A.); (D.Z.)
- Centre for Biosensors, Bioelectronics and Biodevices (C3Bio), University of Bath, Bath BA2 7AY, UK;
- Department of Electronics and Electrical Engineering, University of Bath, Bath BA2 7AY, UK
| | - Tareq Assaf
- Centre for Autonomous Robotics (CENTAUR), University of Bath, Bath BA2 7AY, UK; (B.M.); (T.A.); (D.Z.)
- Centre for Biosensors, Bioelectronics and Biodevices (C3Bio), University of Bath, Bath BA2 7AY, UK;
- Department of Electronics and Electrical Engineering, University of Bath, Bath BA2 7AY, UK
| | - Leen Jabban
- Centre for Biosensors, Bioelectronics and Biodevices (C3Bio), University of Bath, Bath BA2 7AY, UK;
- Department of Electronics and Electrical Engineering, University of Bath, Bath BA2 7AY, UK
| | - James Male
- Multimodal Inte-R-Action Lab, University of Bath, Bath BA2 7AY, UK;
- Centre for Autonomous Robotics (CENTAUR), University of Bath, Bath BA2 7AY, UK; (B.M.); (T.A.); (D.Z.)
- Department of Electronics and Electrical Engineering, University of Bath, Bath BA2 7AY, UK
| | - Dingguo Zhang
- Centre for Autonomous Robotics (CENTAUR), University of Bath, Bath BA2 7AY, UK; (B.M.); (T.A.); (D.Z.)
- Centre for Biosensors, Bioelectronics and Biodevices (C3Bio), University of Bath, Bath BA2 7AY, UK;
- Department of Electronics and Electrical Engineering, University of Bath, Bath BA2 7AY, UK
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Abstract
Abstract
The energetic advantages of series and parallel elastic actuators have been characterized in the literature considering different elastic systems and different tasks. These characterizations usually determine the energy consumption of a specific system during a specific task and generalize poorly. This paper proposes an energetic characterization of elastic actuators, following an analytical approach, rather than a data-driven one. In particular, this work analyzes the energy consumption of elastic actuators during resonant motion and introduces a novel efficiency index. This index characterizes energy consumption as a function of inherent actuator parameters only, generalizing over the specific tasks. The proposed analysis is validated using simulations and experiments, demonstrating its coherence with analytical results.
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7
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Soft Exoskeletons: Development, Requirements, and Challenges of the Last Decade. ACTUATORS 2021. [DOI: 10.3390/act10070166] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
In this article, various investigations on soft exoskeletons are presented and their functional and structural characteristics are analyzed. The present work is oriented to the studies of the last decade and covers the upper and lower joints, specifically the shoulder, elbow, wrist, hand, hip, knee, and ankle. Its functionality, applicability, and main characteristics are exposed, such as degrees of freedom, force, actuators, power transmission methods, control systems, and sensors. The purpose of this work is to show the current trend in the development of soft exoskeletons, in addition to specifying the essential characteristics that must be considered in its design and the challenges that its construction implies.
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Hussain F, Goecke R, Mohammadian M. Exoskeleton robots for lower limb assistance: A review of materials, actuation, and manufacturing methods. Proc Inst Mech Eng H 2021; 235:1375-1385. [PMID: 34254562 DOI: 10.1177/09544119211032010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The field of robot-assisted physical rehabilitation and robotics technology for providing support to the elderly population is rapidly evolving. Lower limb robot aided rehabilitation and assistive technology have been a focus for the engineering community during the last three decades as several robotic lower limb exoskeletons have been proposed in the literature as well as some being commercially available. Numerous manufacturing techniques and materials have been developed for lower limb exoskeletons during the last two decades, resulting in the design of a variety of robot exoskeletons for gait assistance for elderly and disabled people. One of the most important aspects of developing exoskeletons is the selection of the most appropriate proper material. The material selection strongly influences the overall weight and performance of the exoskeleton robot. The most suitable fabrication method for material is also an important parameter for the development of lower limb robot exoskeletons. In addition to the materials and manufacturing methods, the actuation method plays a vital role in the development of these robot exoskeletons. Even though various materials, manufacturing methods and actuators are reported in the literature for these lower limb robot exoskeletons, there are still avenues of improvement in these three domains. In this review, we have examined various lower limb robotic exoskeletons, concentrating on the three main aspects of material, manufacturing, and actuation. We have focused on the advantages and drawbacks of various materials and manufacturing practices as well as actuation methods. A discussion on future directions of research is provided for the engineering community covering the material, manufacturing and actuation methods.
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Affiliation(s)
- Fahad Hussain
- Human-Centred Technology Research Centre, Faculty of Science and Technology, University of Canberra, Canberra, ACT, Australia
| | - Roland Goecke
- Human-Centred Technology Research Centre, Faculty of Science and Technology, University of Canberra, Canberra, ACT, Australia
| | - Masoud Mohammadian
- Human-Centred Technology Research Centre, Faculty of Science and Technology, University of Canberra, Canberra, ACT, Australia
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Sun W, Lin JW, Su SF, Wang N, Er MJ. Reduced Adaptive Fuzzy Decoupling Control for Lower Limb Exoskeleton. IEEE TRANSACTIONS ON CYBERNETICS 2021; 51:1099-1109. [PMID: 32112693 DOI: 10.1109/tcyb.2020.2972582] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
This article reports our study on a reduced adaptive fuzzy decoupling control for our lower limb exoskeleton system which typically is a multi-input-multi-output (MIMO) uncertain nonlinear system. To show the applicability and generality of the proposed control methods, a more general MIMO uncertain nonlinear system model is considered. By decoupling control, the entire MIMO system is separated into several MISO subsystems. In our experiments, such a system may have problems (even unstable) if a traditional fuzzy approximator is used to estimate the complicated coupling terms. In this article, to overcome this problem, a reduced adaptive fuzzy system together with a compensation term is proposed. Compared to traditional approaches, the proposed fuzzy control approach can reduce possible chattering phenomena and achieve better control performance. By employing the proposed control scheme to an actual 2-DOF lower limb exoskeleton rehabilitation robot system, it can be seen from the experimental results that, as expected, it has good performance to track the model trajectory of a human walking gait. Therefore, it can be concluded that the developed approach is effective for the control of a lower limb exoskeleton system.
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10
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Poliero T, Lazzaroni M, Toxiri S, Di Natali C, Caldwell DG, Ortiz J. Applicability of an Active Back-Support Exoskeleton to Carrying Activities. Front Robot AI 2020; 7:579963. [PMID: 33501340 PMCID: PMC7805869 DOI: 10.3389/frobt.2020.579963] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 10/05/2020] [Indexed: 11/13/2022] Open
Abstract
Occupational back-support exoskeletons are becoming a more and more common solution to mitigate work-related lower-back pain associated with lifting activities. In addition to lifting, there are many other tasks performed by workers, such as carrying, pushing, and pulling, that might benefit from the use of an exoskeleton. In this work, the impact that carrying has on lower-back loading compared to lifting and the need to select different assistive strategies based on the performed task are presented. This latter need is studied by using a control strategy that commands for constant torques. The results of the experimental campaign conducted on 9 subjects suggest that such a control strategy is beneficial for the back muscles (up to 12% reduction in overall lumbar activity), but constrains the legs (around 10% reduction in hip and knee ranges of motion). Task recognition and the design of specific controllers can be exploited by active and, partially, passive exoskeletons to enhance their versatility, i.e., the ability to adapt to different requirements.
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Affiliation(s)
- Tommaso Poliero
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
- Department of Informatics Bioengineering Robotics and Systems Engineering, University of Genoa, Genoa, Italy
| | - Maria Lazzaroni
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Stefano Toxiri
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Christian Di Natali
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Darwin G. Caldwell
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Jesús Ortiz
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
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Calanca A, Toxiri S, Costanzi D, Sartori E, Vicario R, Poliero T, Natali CD, Caldwell DG, Fiorini P, Ortiz J. Actuation Selection for Assistive Exoskeletons: Matching Capabilities to Task Requirements. IEEE Trans Neural Syst Rehabil Eng 2020; 28:2053-2062. [PMID: 32746325 DOI: 10.1109/tnsre.2020.3010829] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Selecting actuators for assistive exoskeletons involves decisions in which designers usually face contrasting requirements. While certain choices may depend on the application context or design philosophy, it is generally desirable to avoid oversizing actuators in order to obtain more lightweight and transparent systems, ultimately promoting the adoption of a given device. In many cases, the torque and power requirements can be relaxed by exploiting the contribution of an elastic element acting in mechanical parallel. This contribution considers one such case and introduces a methodology for the evaluation of different actuator choices resulting from the combination of different motors, reduction gears, and parallel stiffness profiles, helping to match actuator capabilities to the task requirements. Such methodology is based on a graphical tool showing how different design choices affect the actuator as a whole. To illustrate the approach, a back-support exoskeleton for lifting tasks is considered as a case study.
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Di Natali C, Sadeghi A, Mondini A, Bottenberg E, Hartigan B, De Eyto A, O'Sullivan L, Rocon E, Stadler K, Mazzolai B, Caldwell DG, Ortiz J. Pneumatic Quasi-Passive Actuation for Soft Assistive Lower Limbs Exoskeleton. Front Neurorobot 2020; 14:31. [PMID: 32714175 PMCID: PMC7344163 DOI: 10.3389/fnbot.2020.00031] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 05/06/2020] [Indexed: 12/20/2022] Open
Abstract
There is a growing international interest in developing soft wearable robotic devices to improve mobility and daily life autonomy as well as for rehabilitation purposes. Usability, comfort and acceptance of such devices will affect their uptakes in mainstream daily life. The XoSoft EU project developed a modular soft lower-limb exoskeleton to assist people with low mobility impairments. This paper presents the bio-inspired design of a soft, modular exoskeleton for lower limb assistance based on pneumatic quasi-passive actuation. The design of a modular reconfigurable prototype and its performance are presented. This actuation centers on an active mechanical element to modulate the assistance generated by a traditional passive component, in this case an elastic belt. This study assesses the feasibility of this type of assistive device by evaluating the energetic outcomes on a healthy subject during a walking task. Human-exoskeleton interaction in relation to task-based biological power assistance and kinematics variations of the gait are evaluated. The resultant assistance, in terms of overall power ratio (Λ) between the exoskeleton and the assisted joint, was 26.6% for hip actuation, 9.3% for the knee and 12.6% for the ankle. The released maximum power supplied on each articulation, was 113.6% for the hip, 93.2% for the knee, and 150.8% for the ankle.
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Affiliation(s)
- Christian Di Natali
- XoLab, Department of ADVR-IIT Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Ali Sadeghi
- Department of Biomechanical Engineering, University of Twente, Enschede, Netherlands
| | - Alessio Mondini
- Department of CMBR-IIT Center for Micro-BioRobotics, Istituto Italiano di Tecnologia, Pontedera, Italy
| | - Eliza Bottenberg
- Smart Functional Materials Research Group, Saxion University of Applied Sciences, Enschede, Netherlands
| | | | - Adam De Eyto
- Design Factors Group, University of Limerick, Limerick, Ireland
| | | | - Eduardo Rocon
- Consejo Superior de Investigaciones Cientificas (CSIC), Madrid, Spain
| | - Konrad Stadler
- Institute of Mechatronic Systems, ZHAW Zurich University of Applied Sciences, Winterthur, Switzerland
| | - Barbara Mazzolai
- Department of CMBR-IIT Center for Micro-BioRobotics, Istituto Italiano di Tecnologia, Pontedera, Italy
| | - Darwin G Caldwell
- XoLab, Department of ADVR-IIT Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Jesús Ortiz
- XoLab, Department of ADVR-IIT Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
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Abstract
SummaryWearable devices are fast evolving to address mobility and autonomy needs of elderly people who would benefit from physical assistance. Recent developments in soft robotics provide important opportunities to develop soft exoskeletons (also called exosuits) to enable both physical assistance and improved usability and acceptance for users. The XoSoft EU project has developed a modular soft lower limb exoskeleton to assist people with low mobility impairments. In this paper, we present the design of a soft modular lower limb exoskeleton to improve person’s mobility, contributing to independence and enhancing quality of life. The novelty of this work is the integration of quasi-passive elements in a soft exoskeleton. The exoskeleton provides mechanical assistance for subjects with low mobility impairments reducing energy requirements between 10% and 20%. Investigation of different control strategies based on gait segmentation and actuation elements is presented. A first hip–knee unilateral prototype is described, developed, and its performance assessed on a post-stroke patient for straight walking. The study presents an analysis of the human–exoskeleton energy patterns by way of the task-based biological power generation. The resultant assistance, in terms of power, was 10.9% ± 2.2% for hip actuation and 9.3% ± 3.5% for knee actuation. The control strategy improved the gait and postural patterns by increasing joint angles and foot clearance at specific phases of the walking cycle.
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