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Готові списки джерел за темами / Assistive and rehabilitation robotics / Статті в журналах

Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Assistive and rehabilitation robotics.

Статті в журналах з теми "Assistive and rehabilitation robotics"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

White, Matthew, Mary Vining Radomski, Marsha Finkelstein, Daniel Allan Samuel Nilsson, and Lars Ingimar Eugen Oddsson. "Assistive/Socially Assistive Robotic Platform for Therapy and Recovery: Patient Perspectives." International Journal of Telemedicine and Applications 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/948087.

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Анотація:

Improving adherence to therapy is a critical component of advancing outcomes and reducing the cost of rehabilitation. A robotic platform was previously developed to explore how robotics could be applied to the social dimension of rehabilitation to improve adherence. This paper aims to report on feedback given by end users of the robotic platform as well as the practical applications that socially assistive robotics could have in the daily life activities of a patient. A group of 10 former and current patients interacted with the developed robotic platform during a simulated exercise session be

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2

Garcia-Aracil, Nicolas, Alicia Casals, and Elena Garcia. "Rehabilitation and assistive robotics." Advances in Mechanical Engineering 9, no. 3 (2017): 168781401769933. http://dx.doi.org/10.1177/1687814017699338.

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3

Bhardwaj, Siddharth, Abid Ali Khan, and Mohammad Muzammil. "Lower limb rehabilitation robotics: The current understanding and technology." Work 69, no. 3 (2021): 775–93. http://dx.doi.org/10.3233/wor-205012.

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Анотація:

BACKGROUND: With the increasing rate of ambulatory disabilities and rise in the elderly population, advance methods to deliver the rehabilitation and assistive services to patients have become important. Lower limb robotic therapeutic and assistive aids have been found to improve the rehabilitation outcome. OBJECTIVE: The article aims to present the updated understanding in the field of lower limb rehabilitation robotics and identify future research avenues. METHODS: Groups of keywords relating to assistive technology, rehabilitation robotics, and lower limb were combined and searched in EMBAS

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4

Pasupuleti, Shashank. "The Impact of Robotics on Elderly Care: A Focus on Assistive Technologies and Patient Mobility." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–6. https://doi.org/10.55041/ijsrem20296.

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With an aging global population, the need for innovative solutions in elderly care is more critical than ever. Robotics offers significant potential to improve mobility, enhance independence, and reduce the physical burden on caregivers. This paper explores the design, development, challenges, and impact of robotic technologies for elderly care, with a specific focus on assistive devices aimed at improving patient mobility. Key examples of exoskeletons, robotic canes, and mobility aids are discussed, alongside their market adoption, evolution, and impact. Through a deeper understanding of the

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5

Ribas Neto, Antonio, Julio Fajardo, Willian Hideak Arita da Silva, et al. "Design of Tendon-Actuated Robotic Glove Integrated with Optical Fiber Force Myography Sensor." Automation 2, no. 3 (2021): 187–201. http://dx.doi.org/10.3390/automation2030012.

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People taken by upper limb disorders caused by neurological diseases suffer from grip weakening, which affects their quality of life. Researches on soft wearable robotics and advances in sensor technology emerge as promising alternatives to develop assistive and rehabilitative technologies. However, current systems rely on surface electromyography and complex machine learning classifiers to retrieve the user intentions. In addition, the grasp assistance through electromechanical or fluidic actuators is passive and does not contribute to the rehabilitation of upper-limb muscles. Therefore, this

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6

Johnson, Michelle J., Silvestro Micera, Takanori Shibata, and Eugenio Guglielmelli. "Rehabilitation and assistive robotics [TC Spotlight]." IEEE Robotics & Automation Magazine 15, no. 3 (2008): 16–110. http://dx.doi.org/10.1109/mra.2008.928304.

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7

Kyrarini, Maria, Fotios Lygerakis, Akilesh Rajavenkatanarayanan, et al. "A Survey of Robots in Healthcare." Technologies 9, no. 1 (2021): 8. http://dx.doi.org/10.3390/technologies9010008.

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Анотація:

In recent years, with the current advancements in Robotics and Artificial Intelligence (AI), robots have the potential to support the field of healthcare. Robotic systems are often introduced in the care of the elderly, children, and persons with disabilities, in hospitals, in rehabilitation and walking assistance, and other healthcare situations. In this survey paper, the recent advances in robotic technology applied in the healthcare domain are discussed. The paper provides detailed information about state-of-the-art research in care, hospital, assistive, rehabilitation, and walking assistin

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8

Úbeda, Andrés, Fernando Torres, and Santiago T. Puente. "Assistance Robotics and Biosensors 2019." Sensors 20, no. 5 (2020): 1335. http://dx.doi.org/10.3390/s20051335.

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Анотація:

This Special Issue is focused on breakthrough developments in the field of assistive and rehabilitation robotics. The selected contributions include current scientific progress from biomedical signal processing and cover applications to myoelectric prostheses, lower-limb and upper-limb exoskeletons and assistive robotics.

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9

Novak, Domen, and Robert Riener. "Sensor Fusion in Assistive and Rehabilitation Robotics." Sensors 20, no. 18 (2020): 5235. http://dx.doi.org/10.3390/s20185235.

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10

Mohammed, Samer, Hae Won Park, Chung Hyuk Park, Yacine Amirat, and Brenna Argall. "Special Issue on Assistive and Rehabilitation Robotics." Autonomous Robots 41, no. 3 (2017): 513–17. http://dx.doi.org/10.1007/s10514-017-9627-z.

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11

Saraf, Ninad R., Hrishikesh Korada, Ranjith Anumasa, and Pragati B. Shetkar. "Current Trends in Effectiveness of Robotic Assisted Gait Training (RAGT) for Gait Recovery in Neuro Rehabilitation - An Evidence-Based Scoping Review." International Journal of Physiotherapy and Research 12, no. 3 (2024): 4727–37. http://dx.doi.org/10.16965/ijpr.2024.116.

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Анотація:

Robotic-assisted gait training plays a pivotal role in the rehabilitation of individuals recovering from post-stroke and post-spinal cord injuries. By employing sophisticated robotics, this therapy facilitates repetitive, task-specific movements essential for relearning walking patterns. The precision and customisation of robotic systems ensure tailored interventions targeting specific impairments. Moreover, these technologies provide real-time feedback, enhancing patient engagement and motivation. In this review, 11 articles were finalized for review, five were for post-stroke rehabilitation

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12

Krebs, H. I., B. T. Volpe, M. L. Aisen, et al. "Robotic applications in neuromotor rehabilitation." Robotica 21, no. 1 (2003): 3–11. http://dx.doi.org/10.1017/s0263574702004587.

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Анотація:

Robot-aids or Rehabilitators are our chosen neologism to name a new class of robotic devices that represent a substantially departure from prior applications of robotics in rehabilitation. Rather than use robotics as an assistive technology for a disabled individual, we envision robots and computers as supporting and enhancing the productivity of clinicians in their efforts to facilitate a disabled individual's recovery. In this paper, we attempt a brief overview of our work in what promises to be a ground breaking field. We discuss the concept of robot-aided neuro-rehabilitation as a means to

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13

Raparelli, Terenziano, and Pierluigi Beomonte Zobel. "Special Issue on New Challenges in Robotics Technology." International Journal of Automation Technology 11, no. 3 (2017): 343. http://dx.doi.org/10.20965/ijat.2017.p0343.

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Анотація:

Robotics has reached a top technological level in recent years, a level at which it can be successfully used not only in structured spaces (for less complex applications) but also increasingly in unstructured spaces. Robotics technology is now used effectively in hospitals for rehabilitation and assistive devices, in the home for domestic applications, in the space for autonomous robots and automated vehicles, in amusement parks for entertainment attractions, and on the ground for military applications. In industrial applications, robotics has enlarged its scope with high-speed robots, coopera

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14

Bühler, Christian. "Robotics for rehabilitation — a European (?) perspective." Robotica 16, no. 5 (1998): 487–90. http://dx.doi.org/10.1017/s0263574798000630.

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Анотація:

Rehabilitation Robotics (RR) is a challenging field with a high potential to support people with severe disabilities in their daily life. In the past years this field developed in Europe with a European dimension. European consortia have been supported in technical development and investigations. Also, several robotic aids have been sold and installed in Europe and support end users in their daily life. However, the breakthrough on the market is still outstanding. This paper tries to draw a picture of the RR situation in Europe and discusses aspects to move forward. Particular reference is giv

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15

Baysal, Zeynep. "Wearable Robotic Exoskeletons for Assisted Mobility: Enhancing Rehabilitation and Quality of Life for Neuromuscular Disorders." Next Frontier For Life Sciences and AI 8, no. 1 (2024): 159. http://dx.doi.org/10.62802/nysced35.

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Анотація:

Wearable robotic exoskeletons represent a significant advancement in assistive technology, offering enhanced mobility and improved quality of life for individuals with neuromuscular disorders. This research explores the integration of robotics and biomechanical engineering to develop exoskeleton systems tailored for rehabilitation and daily mobility assistance. Key areas of investigation include the use of sensor-driven actuators for real-time movement adaptation, the role of artificial intelligence (AI) in customizing therapy sessions, and the impact of these devices on neuroplasticity during

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16

Novak, Domen, and Robert Riener. "Control Strategies and Artificial Intelligence in Rehabilitation Robotics." AI Magazine 36, no. 4 (2015): 23–33. http://dx.doi.org/10.1609/aimag.v36i4.2614.

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Анотація:

Rehabilitation robots physically support and guide a patient's limb during motor therapy, but require sophisticated control algorithms and artificial intelligence to do so. This article provides an overview of the state of the art in this area. It begins with the dominant paradigm of assistive control, from impedance-based cooperative controller through electromyography and intention estimation. It then covers challenge-based algorithms, which provide more difficult and complex tasks for the patient to perform through resistive control and error augmentation. Furthermore, it describes exercise

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17

Retnaningsih, Retnaningsh, Agus Budiyono, Rifky Ismail, et al. "Robotics Applications in Neurology: A Review of Recent Advancements and Future Directions." Journal of Instrumentation, Automation and Systems 10, no. 1 (2023): 25–33. https://doi.org/10.5281/zenodo.8062306.

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Анотація:

This review paper provides a comprehensive overview of the recent advancements in robotics technology for neurology, with a focus on three main areas: diagnosis, treatment, and rehabilitation. In the area of diagnosis, robotics has been used for developing new imaging techniques and tools for more accurate and non-invasive mapping of brain structures and functions. For treatment, robotics has been used for developing minimally invasive surgical procedures, including stereotactic and endoscopic approaches, as well as for the delivery of therapeutic agents to specific targets in the brain. In re

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18

Monoscalco, Lisa, Rossella Simeoni, Giovanni Maccioni, and Daniele Giansanti. "Information Security in Medical Robotics: A Survey on the Level of Training, Awareness and Use of the Physiotherapist." Healthcare 10, no. 1 (2022): 159. http://dx.doi.org/10.3390/healthcare10010159.

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Cybersecurity is becoming an increasingly important aspect to investigate for the adoption and use of care robots, in term of both patients’ safety, and the availability, integrity and privacy of their data. This study focuses on opinions about cybersecurity relevance and related skills for physiotherapists involved in rehabilitation and assistance thanks to the aid of robotics. The goal was to investigate the awareness among insiders about some facets of cybersecurity concerning human–robot interactions. We designed an electronic questionnaire and submitted it to a relevant sample of physioth

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19

Campeau-Lecours, Alexandre, Hugo Lamontagne, Simon Latour, et al. "Kinova Modular Robot Arms for Service Robotics Applications." International Journal of Robotics Applications and Technologies 5, no. 2 (2017): 49–71. http://dx.doi.org/10.4018/ijrat.2017070104.

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This article presents Kinova's modular robotic systems, including the robots JACO2 and MICO2, actuators and grippers. Kinova designs and manufactures robotics platforms and components that are simple, sexy and safe under two business units: Assistive Robotics empowers people living with disabilities to push beyond their current boundaries and limitations while Service Robotics empowers people in industry to interact with their environment more efficiently and safely. Kinova is based in Boisbriand, Québec, Canada. Its technologies are exploited in over 25 countries and are used in many applicat

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20

How, Jonathan P. "Control Systems for Assistive and Rehabilitation Robotics [About This Issue]." IEEE Control Systems 38, no. 6 (2018): 5–9. http://dx.doi.org/10.1109/mcs.2018.2866643.

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21

Lee, Joe, Jin-Jia Hu, and Zong-Hong Lin. "Stretchable Teng Sensors for Facial Motion Detection and Assistive Robotics." ECS Meeting Abstracts MA2025-01, no. 37 (2025): 1785. https://doi.org/10.1149/ma2025-01371785mtgabs.

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This study fabricated oriented polydimethylsiloxane (PDMS) and Nylon 6,6 nanofiber films using coaxial and uniaxial electrospinning techniques. The directional alignment of these nanofiber films enhances their mechanical properties, making them suitable as triboelectric layers in triboelectric nanogenerators (TENGs). Based on this, we developed a stretchable TENG sensor designed to detect facial movements during speech. The sensor, affixed around the mouth, captures motion signals in real time and processes them through a custom-built system, enabling instantaneous control of a robotic arm. Th

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22

Adel, Samar, Abbas Zaher, Nadia El Harouni, Adith Venugopal, Pratik Premjani, and Nikhilesh Vaid. "Robotic Applications in Orthodontics: Changing the Face of Contemporary Clinical Care." BioMed Research International 2021 (June 16, 2021): 1–16. http://dx.doi.org/10.1155/2021/9954615.

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Анотація:

The last decade (2010-2021) has witnessed the evolution of robotic applications in orthodontics. This review scopes and analyzes published orthodontic literature in eight different domains: (1) robotic dental assistants; (2) robotics in diagnosis and simulation of orthodontic problems; (3) robotics in orthodontic patient education, teaching, and training; (4) wire bending and customized appliance robotics; (5) nanorobots/microrobots for acceleration of tooth movement and for remote monitoring; (6) robotics in maxillofacial surgeries and implant placement; (7) automated aligner production robot

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23

Pooja, Chandewar Yashika Wanjari Pooja Raut Dipanjali Warade Pratiksha Motghare Dr. Archana Dehankar. "Robotic Mimicry Leveraging Posenet Software for Human-Like Movements." International Journal of Research in Computer & Information Technology 10, no. 2 (2025): 11–14. https://doi.org/10.5281/zenodo.15254914.

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This research presents a novel algorithm for accurate pose estimation tailored for human posture mimicry in robotics, optimized for low-cost and resource-constrained embedded systems. Integrating Convolutional Neural Network (CNN) PoseNet for object detection with stereo correspondences for spatial reconstruction, the algorithm enables precise estimation of human posture. Leveraging ORB features and weighted averaging of stereo-corresponded key points, it achieves superior accuracy while maintaining resource efficiency. Comparative testing against deep learning-based methods demonstrates its e

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24

Lingampally, Pavan Kalyan, Kuppan Chetty Ramanathan, Ragavanantham Shanmugam, Lenka Cepova, and Sachin Salunkhe. "Wearable Assistive Rehabilitation Robotic Devices—A Comprehensive Review." Machines 12, no. 6 (2024): 415. http://dx.doi.org/10.3390/machines12060415.

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This article details the existing wearable assistive devices that could mimic a human’s active range of motion and aid individuals in recovering from stroke. The survey has identified several risk factors associated with musculoskeletal pain, including physical factors such as engaging in high-intensity exercises, experiencing trauma, aging, dizziness, accidents, and damage from the regular wear and tear of daily activities. These physical risk factors impact vital body parts such as the cervical spine, spinal cord, ankle, elbow, and others, leading to dysfunction, a decrease in the range of m

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25

Fiska, Vasiliki, Konstantinos Mitsopoulos, Vasiliki Mantiou, et al. "Integration and Validation of Soft Wearable Robotic Gloves for Sensorimotor Rehabilitation of Human Hand Function." Applied Sciences 15, no. 10 (2025): 5299. https://doi.org/10.3390/app15105299.

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This study aims to present the development of a wearable prototype device consisting of soft robotic gloves (SRGs), its integration into a wearable robotics platform for sensorimotor rehabilitation, and the device’s validation experiments with individuals suffering from impaired hand motor function due to neurological lesions. The SRG is tested and evaluated by users with spinal cord injury (SCI) and stroke. The proposed system combines multiple-sensor arrays with pneumatic actuation to assist finger movement during grasping tasks. Evaluations on SCI and stroke patients revealed that the glove

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26

Taffoni, Fabrizio. "2021 IEEE RAS Seasonal School on Rehabilitation and Assistive Robotics Based on Soft Robotics [Education]." IEEE Robotics & Automation Magazine 28, no. 3 (2021): 187–90. http://dx.doi.org/10.1109/mra.2021.3096258.

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27

Carbone, Giuseppe, and Med Amine Laribi. "Recent Trends on Innovative Robot Designs and Approaches." Applied Sciences 13, no. 3 (2023): 1388. http://dx.doi.org/10.3390/app13031388.

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Анотація:

The use and function of robots are evolving at a fast pace, sparking interest in creative solutions within a quickly expanding potential market in cutting-edge industries with applications including service robotics, surgical and rehabilitative robotics, and assistive robotics [...]

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28

Banyai, Adriana Daniela, and Cornel Brișan. "Robotics in Physical Rehabilitation: Systematic Review." Healthcare 12, no. 17 (2024): 1720. http://dx.doi.org/10.3390/healthcare12171720.

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Анотація:

As the global prevalence of motor disabilities continues to rise, there is a pressing need for advanced solutions in physical rehabilitation. This systematic review examines the progress and challenges of implementing robotic technologies in the motor rehabilitation of patients with physical disabilities. The integration of robotic technologies such as exoskeletons, assistive training devices, and brain–computer interface systems holds significant promise for enhancing functional recovery and patient autonomy. The review synthesizes findings from the most important studies, focusing on the cli

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29

Harwin, William, and Michael Hillman. "Introduction." Robotica 21, no. 1 (2003): 1. http://dx.doi.org/10.1017/s0263574702004575.

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Анотація:

The four papers encompassing this special section on Robot Mediated Neuro-motor Therapy introduce a new area for robotics in the healthcare industry, that of assisting in the delivery of neuro-motor therapies, for patients recovering from a stroke. As life expectancy increases, so do problems associated with old age. In the paper by Krebs et al. the authors not only summarise the need for action in stroke rehabilitation but also makes a useful distinction between assistive technologies that provide enhanced abilities for the patient, and therapy tools for the clinician, that seek to enhance th

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30

Fuentetaja, Raquel, Angel García-Olaya, Javier García, José Carlos González, and Fernando Fernández. "An Automated Planning Model for HRI: Use Cases on Social Assistive Robotics." Sensors 20, no. 22 (2020): 6520. http://dx.doi.org/10.3390/s20226520.

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Using Automated Planning for the high level control of robotic architectures is becoming very popular thanks mainly to its capability to define the tasks to perform in a declarative way. However, classical planning tasks, even in its basic standard Planning Domain Definition Language (PDDL) format, are still very hard to formalize for non expert engineers when the use case to model is complex. Human Robot Interaction (HRI) is one of those complex environments. This manuscript describes the rationale followed to design a planning model able to control social autonomous robots interacting with h

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31

Khan, Muhammad Ahmed, Matteo Saibene, Rig Das, Iris Brunner, and Sadasivan Puthusserypady. "Emergence of flexible technology in developing advanced systems for post-stroke rehabilitation: a comprehensive review." Journal of Neural Engineering 18, no. 6 (2021): 061003. http://dx.doi.org/10.1088/1741-2552/ac36aa.

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Abstract Objective. Stroke is one of the most common neural disorders, which causes physical disabilities and motor impairments among its survivors. Several technologies have been developed for providing stroke rehabilitation and to assist the survivors in performing their daily life activities. Currently, the use of flexible technology (FT) for stroke rehabilitation systems is on a rise that allows the development of more compact and lightweight wearable systems, which stroke survivors can easily use for long-term activities. Approach. For stroke applications, FT mainly includes the ‘flexible

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32

Meshram, Tajul, and Dr G.D. Mehta. "Design and Simulation of Exoskeleton Mechanism to Assist Paralyzed Patients: A Review." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44467.

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Exoskeletons have emerged as a promising assistive technology for paralyzed patients, offering mobility restoration and rehabilitation benefits. This review paper explores the design and simulation aspects of exoskeleton mechanisms, focusing on their structural configurations, actuation methods, control strategies, and simulation techniques. The study highlights recent advancements in exoskeleton technology, challenges in implementation, and future research directions to enhance their efficiency and accessibility for paralyzed individuals. Key Words: Exoskeleton, Paralysis, Rehabilitation Robo

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33

Ompico, Czaryn Diane, Juliah Faye Dela Vega, Tonica Garcia, et al. "Robotic Rehabilitation Devices in the Philippines: A Review of Recent Advancements." Recoletos Multidisciplinary Research Journal 1, Special Issue (2025): 115–24. https://doi.org/10.32871/rmrj25si.t2406.

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Анотація:

Background: Rehabilitation robots are emerging technologies that address common challenges in conventional rehabilitation methods, such as labor-intensive, costly, and often yielding slow or suboptimal recovery outcomes. These robots have been gaining popularity in the Philippines due to their cost-effectiveness and improved therapeutic efficiency. The country has gradually begun adapting technology, with rehabilitation robots introduced as assistive devices for clinical practice such as electromyogram (EMG)-assisted devices, Functional Electrical Stimulation (FES), Robotic Exoskeleton Hand, a

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34

Athanasiou, Alkinoos, Ioannis Xygonakis, Niki Pandria, et al. "Towards Rehabilitation Robotics: Off-the-Shelf BCI Control of Anthropomorphic Robotic Arms." BioMed Research International 2017 (2017): 1–17. http://dx.doi.org/10.1155/2017/5708937.

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Анотація:

Advances in neural interfaces have demonstrated remarkable results in the direction of replacing and restoring lost sensorimotor function in human patients. Noninvasive brain-computer interfaces (BCIs) are popular due to considerable advantages including simplicity, safety, and low cost, while recent advances aim at improving past technological and neurophysiological limitations. Taking into account the neurophysiological alterations of disabled individuals, investigating brain connectivity features for implementation of BCI control holds special importance. Off-the-shelf BCI systems are based

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35

Thomas, Adebo, Asiku Denis, Wamusi Robert, et al. "Artificial Intelligence-Powered Robotic Technology for Transforming Palliative Care." Mesopotamian Journal of Artificial Intelligence in Healthcare 2025 (May 8, 2025): 58–84. https://doi.org/10.58496/mjaih/2025/007.

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Palliative care seeks to improve the quality of life of patients with life-threatening illnesses by addressing their physical, emotional, and psychological needs. However, global challenges such as workforce shortages, limited access to specialized care, and inconsistent care quality demand innovative solutions. Advances in artificial intelligence (AI)-powered robotics offer transformative potential to overcome these barriers and strengthen palliative care delivery. This study explores how AI-driven robotic technologies support palliative care through applications in symptom monitoring, clinic

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36

Liang, Peiyu. "Integration of Electroencephalography with Electromyography and Wearable Devices: A Concept Based on Experimental Investigations Utilizing Electromyogram Signals for Motor Function Control." Theoretical and Natural Science 84, no. 1 (2025): 51–57. https://doi.org/10.54254/2753-8818/2025.21232.

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Анотація:

The utilization of bioelectrical signals, including Electromyography (EMG) and Electroencephalography (EEG), has substantially contributed to advancements in assistive technologies, medical diagnostics, and rehabilitation practices. However, research that combines these two technologies is still relatively scarce. This study focuses on exploring the integration of EMG and EEG signals for controlling robots, particularly for assisting elderly and disabled individuals in performing daily tasks. The experiment involved collecting hand muscle signals using surface EMG (sEMG) electrodes, an Arduino

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Rezzoug, Nasser, Philippe Gorce, Philippe Hoppenot, and Etienne Colle. "Assistive robotics: Semi-autonomous definition of ARPH mobile platform configuration." Technology and Disability 18, no. 4 (2006): 189–94. http://dx.doi.org/10.3233/tad-2006-18405.

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Wu, Jenq‐Lang, and Ti‐Chung Lee. "Special issue on “Control and optimization methods on rehabilitation and assistive robotics”." Asian Journal of Control 27, no. 1 (2025): 128–29. https://doi.org/10.1002/asjc.3570.

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Herath, H. M. K. K. M. B., Nuwan Madusanka, S. L. P. Yasakethu, Chaminda Hewage, and Byeong-Il Lee. "Biomimetic Robotics and Sensing for Healthcare Applications and Rehabilitation: A Systematic Review." Biomimetics 10, no. 7 (2025): 466. https://doi.org/10.3390/biomimetics10070466.

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Анотація:

Biomimetic robotics and sensor technologies are reshaping the landscape of healthcare and rehabilitation. Despite significant progress across various domains, many areas within healthcare still demand further bio-inspired innovations. To advance this field effectively, it is essential to synthesize existing research, identify persistent knowledge gaps, and establish clear frameworks to guide future developments. This systematic review addresses these needs by analyzing 89 peer-reviewed sources retrieved from the Scopus database, focusing on the application of biomimetic robotics and sensing te

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Kantorovitch, Julia, Janne Väre, Vesa Pehkonen, Arto Laikari, and Heikki Seppälä. "An assistive household robot – doing more than just cleaning." Journal of Assistive Technologies 8, no. 2 (2014): 64–76. http://dx.doi.org/10.1108/jat-08-2013-0024.

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Purpose – The purpose of this paper is to create new ideas for assistive technology products at home, especially products utilizing robotic consumer appliances available in the homes of elderly people. The work was founded on a reported increase in household robots as well as an ageing population in the industrialized world. Design/methodology/approach – Technology should be something that is perceived as belonging to our own world that fits our daily practices. Earlier studies show that in addition to cleaning functions, new household robots could change home routines and people's relationshi

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Hamid, Alala M. Ba, Mohatashem R. Makhdoomi, Tanveer Saleh, and Moinul Bhuiyan. "Development of a Shape Memory Alloy (SMA) Based Assistive Hand." Advanced Materials Research 1115 (July 2015): 454–57. http://dx.doi.org/10.4028/www.scientific.net/amr.1115.454.

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In Malaysia, every year approximately 40000 people suffer from stroke and many of them become immobilized as an after effect. Rehabilitation robotics to assist disabled people has drawn significant attention by the researchers recently. This project also aims to contribute to this field. This paper presents a Shape Memory Alloy (SMA) actuated wearable assistive robotic hand for grasping. The proposed design is compact and sufficiently light to be used as an assistive hand. It is a joint less structure, has the potential because the human skeleton and joint replace the robot’s conventional stru

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Dixon, Warren. "Control Systems for Assistive and Rehabilitation Robotics: A Introduction to the Special Issue." IEEE Control Systems 38, no. 6 (2018): 32–34. http://dx.doi.org/10.1109/mcs.2018.2866602.

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Liu, Chang, Kai Guo, Jingxin Lu, and Hongbo Yang. "A review on the application of intelligent control strategies for post-stroke hand rehabilitation machines." Advances in Mechanical Engineering 15, no. 1 (2023): 168781322211480. http://dx.doi.org/10.1177/16878132221148018.

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Among the approaches to functional hand rehabilitation after stroke, the use of hand rehabilitation robots can provide functional training of the hand or assist the paralyzed hand in activities of daily living, and in particular, intelligent control strategies play a very important role in rehabilitation robotics. The purpose of this review is to summarize the current status of commercially available intelligently controlled hand rehabilitation robots developed in recent years. Firstly, we summarize the theoretical basis of post-stroke hand rehabilitation in the reviewed literature, and the in

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Pradhan, Bikash, Deepti Bharti, Sumit Chakravarty, et al. "Internet of Things and Robotics in Transforming Current-Day Healthcare Services." Journal of Healthcare Engineering 2021 (May 26, 2021): 1–15. http://dx.doi.org/10.1155/2021/9999504.

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Technology has become an integral part of everyday lives. Recent years have witnessed advancement in technology with a wide range of applications in healthcare. However, the use of the Internet of Things (IoT) and robotics are yet to see substantial growth in terms of its acceptability in healthcare applications. The current study has discussed the role of the aforesaid technology in transforming healthcare services. The study also presented various functionalities of the ideal IoT-aided robotic systems and their importance in healthcare applications. Furthermore, the study focused on the appl

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Mahamood, Siti Fatahiyah, Amily Fikry, Muhammad Iskandar Hamzah, Mohammad Mahyuddin Khalid, and Azri Bhari. "Fiqh Robotic For Artificial Intelligent In Humanoids Used For Therapy, Services And Other Social Activities: An Integration Of Artificial Intelligence (Ai) And Maqasid Shariah." Journal of Fatwa Management and Research 28, no. 2 (2023): 1–13. http://dx.doi.org/10.33102/jfatwa.vol28no2.527.

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Humanoid is part of the Social Assistive Robotics (SAR) which has been designed with a comprehensive artificial intelligence system that is widely used for elderly care, rehabilitation for people with physical disabilities as well as the intervention of individuals with cognitive impairment. Nowadays, with the advance of this technology, the world is also utilizing these humanoids for social activities and services. Consequently, some controversial questions amongst religious scholars, academicians, clinicians, services and societies arise on the urgency to use humanoid robots for therapy of t

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Ghobadi, Narges, Nariman Sepehri, Witold Kinsner, and Tony Szturm. "Beyond Human Touch: Integrating Soft Robotics with Environmental Interaction for Advanced Applications." Actuators 13, no. 12 (2024): 507. https://doi.org/10.3390/act13120507.

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Soft robotics is an emerging field dedicated to the design and development of robots with soft structures. Soft robots offer unique capabilities in terms of flexibility, adaptability, and safety of physical interaction, and therefore provide advanced collaboration between humans and robots. The further incorporation of soft actuators, advanced sensing technologies, user-friendly control interfaces, and safety considerations enhance the interaction experience. Applications in healthcare, specifically in rehabilitation and assistive devices, as well as manufacturing, show how soft robotics has r

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Brose, Steven W., Douglas J. Weber, Ben A. Salatin, et al. "The Role of Assistive Robotics in the Lives of Persons with Disability." American Journal of Physical Medicine & Rehabilitation 89, no. 6 (2010): 509–21. http://dx.doi.org/10.1097/phm.0b013e3181cf569b.

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Ou, Yang-Kun, Yu-Lin Wang, Hua-Cheng Chang, and Chun-Chih Chen. "Design and Development of a Wearable Exoskeleton System for Stroke Rehabilitation." Healthcare 8, no. 1 (2020): 18. http://dx.doi.org/10.3390/healthcare8010018.

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For more than a decade, many countries have been actively developing robotic assistive devices to assist in the rehabilitation of individuals with limb disability to regain function in the extremities. The exoskeleton assistive device in this study has been designed primarily for hemiplegic stroke patients to aid in the extension of fingers to open up the palm to simulate the effects of rehabilitation. This exoskeleton was designed as an anterior-support type to achieve palmar extension and acts as a robotic assistive device for rehabilitation in bilateral upper limb task training. Testing res

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Amanov, Bekzat, and Sayat Ibrayev. "Enhancing orthopedics and sports medicine with lower limb exoskeleton control in rehabilitation using deep learning based electromyography signal classification." Retos 61 (October 3, 2024): 616–25. http://dx.doi.org/10.47197/retos.v61.109799.

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This research paper investigates the application of deep learning techniques for enhancing the control of lower limb exoskeletons through the classification of electromyography (EMG) signals. Utilizing convolutional neural networks (CNNs) and recurrent neural networks (RNNs), this study aims to improve the precision and adaptability of exoskeletons used in rehabilitation, particularly in orthopedics and sports medicine. The methodology involves collecting EMG data from various leg movements, which are then processed using advanced signal preprocessing techniques to enhance classification accur

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Cardona, Manuel, Cecilia E. García Cena, Fernando Serrano, and Roque Saltaren. "ALICE: Conceptual Development of a Lower Limb Exoskeleton Robot Driven by an On-Board Musculoskeletal Simulator." Sensors 20, no. 3 (2020): 789. http://dx.doi.org/10.3390/s20030789.

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Objective: In this article, we present the conceptual development of a robotics platform, called ALICE (Assistive Lower Limb Controlled Exoskeleton), for kinetic and kinematic gait characterization. The ALICE platform includes a robotics wearable exoskeleton and an on-board muscle driven simulator to estimate the user’s kinetic parameters. Background: Even when the kinematics patterns of the human gait are well studied and reported in the literature, there exists a considerable intra-subject variability in the kinetics of the movements. ALICE aims to be an advanced mechanical sensor that allow

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