Literatura académica sobre el tema "Wearable robotic"
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Artículos de revistas sobre el tema "Wearable robotic"
Fang, Bin, Fuchun Sun, Huaping Liu, Di Guo, Wendan Chen y Guodong Yao. "Robotic teleoperation systems using a wearable multimodal fusion device". International Journal of Advanced Robotic Systems 14, n.º 4 (1 de julio de 2017): 172988141771705. http://dx.doi.org/10.1177/1729881417717057.
Texto completoMartinez-Hernandez, Uriel, Benjamin Metcalfe, Tareq Assaf, Leen Jabban, James Male y Dingguo Zhang. "Wearable Assistive Robotics: A Perspective on Current Challenges and Future Trends". Sensors 21, n.º 20 (12 de octubre de 2021): 6751. http://dx.doi.org/10.3390/s21206751.
Texto completoIn, Hyunki, Useok Jeong, Brian Byunghyun Kang, Haemin Lee, Inwook Koo y Kyu-Jin Cho. "Trend of Soft Wearable Robotic Hand". Journal of Institute of Control, Robotics and Systems 21, n.º 6 (1 de junio de 2015): 531–37. http://dx.doi.org/10.5302/j.icros.2015.15.9029.
Texto completoXue, Xiangming, Bohua Zhang, Sunho Moon, Guo-Xuan Xu, Chih-Chung Huang, Nitin Sharma y Xiaoning Jiang. "Development of a Wearable Ultrasound Transducer for Sensing Muscle Activities in Assistive Robotics Applications". Biosensors 13, n.º 1 (13 de enero de 2023): 134. http://dx.doi.org/10.3390/bios13010134.
Texto completoZazoum, Bouchaib, Khalid Mujasam Batoo y Muhammad Azhar Ali Khan. "Recent Advances in Flexible Sensors and Their Applications". Sensors 22, n.º 12 (20 de junio de 2022): 4653. http://dx.doi.org/10.3390/s22124653.
Texto completoCarpino, Giorgio, Alessandra Pezzola, Michele Urbano y Eugenio Guglielmelli. "Assessing Effectiveness and Costs in Robot-Mediated Lower Limbs Rehabilitation: A Meta-Analysis and State of the Art". Journal of Healthcare Engineering 2018 (4 de junio de 2018): 1–9. http://dx.doi.org/10.1155/2018/7492024.
Texto completoTucker, Luke A., Ji Chen, Lauren Hammel, Diane L. Damiano y Thomas C. Bulea. "An open source graphical user interface for wireless communication and operation of wearable robotic technology". Journal of Rehabilitation and Assistive Technologies Engineering 7 (enero de 2020): 205566832096405. http://dx.doi.org/10.1177/2055668320964056.
Texto completoWang, Weizu, Tao Wu, Cameron J. Hohimer, Changki Mo y Qin Zhang. "Stability Analysis for Orchard Wearable Robotic System". IFAC-PapersOnLine 49, n.º 16 (2016): 61–65. http://dx.doi.org/10.1016/j.ifacol.2016.10.012.
Texto completoDevi, Delshi Howsalya, Kumutha Duraisamy, Ammar Armghan, Meshari Alsharari, Khaled Aliqab, Vishal Sorathiya, Sudipta Das y Nasr Rashid. "5G Technology in Healthcare and Wearable Devices: A Review". Sensors 23, n.º 5 (24 de febrero de 2023): 2519. http://dx.doi.org/10.3390/s23052519.
Texto completoWang, Qining, Nicola Vitiello, Samer Mohammed y Sunil Agrawal. "Special Issue on Wearable Robotics: Dynamics, Control and Applications". Robotica 37, n.º 12 (13 de noviembre de 2019): 2011–13. http://dx.doi.org/10.1017/s0263574719001486.
Texto completoTesis sobre el tema "Wearable robotic"
Duval, Jean-François S. M. Massachusetts Institute of Technology. "FlexSEA : flexible, scalable electronics architecture for wearable robotic applications". Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98647.
Texto completo"June 2015." Cataloged from PDF version of thesis.
Includes bibliographical references (pages 135-136).
The work of this thesis aims to enable the fast prototyping of multi-axis wearable robotic systems by developing a new modular electronics system. The flexible, scalable electronics architecture (FlexSEA) developed for this thesis fills the void between embedded systems used in commercial devices and in research prototypes. This system provides the required hardware and software for precise motion control, data acquisition, and networking. Scalability is obtained through the use of fast industrial communication protocols between the modules, and the standardization of the peripheral interfaces. Hardware and software encapsulation is used to provide high-performance, real-time control of the actuators while keeping the high-level control development fast, safe and simple. The FlexSEA kits are composed of two custom circuit boards (advanced brushless motor driver and microcontroller board), one commercial embedded computer, a complete software stack and documentation. During its development it has been integrated into a powered prosthetic knee as well as an autonomous ankle exoskeleton. To assess the usability of the FlexSEA kit, a new user successfully used a kit to read sensors and control an output device in less than three hours. FlexSEA simplifies and accelerates wearable robotics prototyping.
by Jean-François Duval.
S.M.
Dang, Wenting. "Stretchable interconnects for smart integration of sensors in wearable and robotic applications". Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/40994/.
Texto completoCheung, Michael Yanshun. "Mechanical and trajectory design of wearable Supernumerary Robotic Limbs for crutch use". Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105711.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (page 22).
The Supernumerary Robotic Limbs (SRL) is a wearable robot that augments its user with two robotic limbs, kinematically independent from the user's own limbs. This thesis explores the use of the SRL as a hands-free robotic crutch for assisting injured or elderly people. This paper first details the mechanical and material design choices that drastically reduced the weight of this SRL prototype, including advanced composite materials, efficient joint structure, and high-performance pneumatic actuators. The latter half of this paper characterizes the biomechanics of both traditional crutch-assisted and SRL-assisted ambulation, models this gait pattern with an inverted pendulum system, and derives equations of motion to create a simulation that examines the effect of various initial parameters. Finally, an optimum set of initial parameters is identified to produce a successful SRL-assisted swing.
by Michael Yanshun Cheung.
S.B.
Lo, Roger (Roger D. ). "Control of a pneumatically actuated joint for wearable supernumerary robotic limbs application". Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105691.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (page 31).
Presented is work on the development of the Supernumerary Robotic Limbs project, headed by Federico Parietti in the d'Arbeloff Labs under Prof. Harry Asada. Specifically, this paper focuses on the integration of lightweight, pneumatic systems for prismatic joint actuation, and the various control schemes studied. This joint serves as the leg of the robot, and extends from the hip of the wearer to contact the ground. The design consists of a two-way pneumatic cylinder inside a load bearing carbon fiber sleeve, actuated with a nominally closed 5-3 way solenoid valve, and weighs in at <1kg per actuator. The positional control scheme is closed via tracking from a linear magnetopotentiometer, while the force control scheme utilizes both the positional tracking as well as a load cell at the foot of the leg. System modeling of the actuator dynamics allowed for development of a model based proportional control method. Optimization of the proportional gain and system delay time produced a rise time of 200ms given a step input command for a 250mm stroke. The developed scheme was implemented in the full wearable system to assist a human support weight in crouched positions and standing up from a sitting position. Initial testing has shown the effectiveness of the power, compactness and compliance of pneumatic systems in a wearable robotic device.
by Roger Lo.
S.B.
Fong, Wai K. "Design of a man-wearable control station for a robotic rescue system". Master's thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/24316.
Texto completoSajid, Nisar. "Toward Novel Remote-Center-of-Motion Manipulators and Wearable Hand-Grounded Kinesthetic Haptics for Robot-Assisted Surgery". Kyoto University, 2019. http://hdl.handle.net/2433/242497.
Texto completoKyoto University (京都大学)
0048
新制・課程博士
博士(工学)
甲第21759号
工博第4576号
新制||工||1713(附属図書館)
京都大学大学院工学研究科機械理工学専攻
(主査)教授 松野 文俊, 教授 椹木 哲夫, 教授 小森 雅晴
学位規則第4条第1項該当
Vivian, Michele. "Studio dell'interazione tra Sistema Muscoloscheletrico Umano e Dispositivi di Assistenza Robotici". Doctoral thesis, Università degli studi di Padova, 2015. http://hdl.handle.net/11577/3423948.
Texto completoNegli ultimi anni, la riabilitazione sfrutta sempre di più dispositivi robotici al fine di ridurre i costi e velocizzare il processo di recupero dei pazienti. Finora però, la maggior parte dei dispositivi disponibili sul mercato porta il soggetto a comportarsi in modo passivo, imponendo traiettorie preprogrammate ai pazienti. Un'ulteriore limitazione delle attuali tecnologie è l'incapacità di valutare accuratamente la dinamica dell'interazione tra il paziente e il dispositivo robotico. Tale interazione gioca un ruolo centrale nella mutua modulazione del comportamento dell'essere umano e del sistema robotico, che risulerà diverso rispetto a quello indipendente. In particolare, la predizione di questa interazione può fornire informazioni utili per migliorare sia il design dell'esoscheletro che il processo di riabilitazione. Questa tesi presenta la soluzione che propongo per lo sviluppo di un simulatore in grado di simulare dinamicamente il movimento che risulta dalla cooperazione dell'essere umano e del dispositivo robotico. L'idea principale su cui si basa questa soluzione è di decomporre il sistema in diversi livelli. La soluzione proposta è stata chiamata Multi-Level modeling approach ed è l'argomento principale di questa tesi. La decomposizione proposta si articola in tre livelli: Human, Robot, e Boundary. I livelli sono poi integrati in un unico sistema in cui ogni livello si occupa di rispondere a specifici problemi. Il livello Human rappresenta il soggetto che sta indossando il sistema robotico, ad esempio un esoscheletro per gli arti inferiori. Per raggiungere una collaborazione simbiotica tra il soggetto e l'esoscheletro, l'approccio deve includere le intenzioni del soggetto e monitorare i suoi sforzi per raggiungere il movimento desiderato. Conoscere le trasformazioni interne all'utente possono fornire importanti informazioni sulla modulazione dei parametri dinamici interni dovuti al dispositivo esterno. Il livello Robot si concentra sul sistema robotico indossabile che supporta i movimenti. L'approccio si propone di modellare sia i meccanismi del dispositivo che le strategie di controllo. Questo permette di testare diverse strategie di controllo per trovare quella che meglio si adatta agli specifici bisogni del paziente e alle sue caratteristiche. L'ultimo livello è il Boundary, che ha come obiettivo principale quello di modellare il meccanismo di trasferimento di energia meccanica, includendo anche le non idealità (come le forze dissipative), per riuscire a stimare accuratamente l'interazioni risultante. Diverse sfide sono emerse durante lo sviluppo del sistema complessivo, che sono state affrontate investigando diverse soluzioni, selezionando e validando la più promettente. Il primo problema è stato individuare una piattaforma software comune ai tre livelli in grado di riprodurre simultaneamente il loro comportamento dinamico. Tra i diversi software disponibili ho selezionato OpenSim perchè molto conosciuto e già usato per lo studio della dinamica del movimento umano. Anche se OpenSim è già testato nell'ambito biomeccanico, era necessaria un'ulteriore valutazione come simulatore per i livelli Robot e Boundary. In questo lavoro sono stati presentati quali analisi sono state compiute e i risultati ottenuti. I parametri dinamici interni dell'essere umano sono modulati ed influenzati dei dispositivi esterni. Ho quindi proposto di monitorare queste variazioni, prendendo in considerazione il comando neurale che viene inviato ai muscoli. Questo può essere eseguito misurando l'attività elettromiografica dei muscoli, cioè il potenziale elettrico generato dal muscolo quando viene attivato, prima della contrazione muscolare. Questi segnali possono essere usati come ingresso per un modello dell'apparato muscoloscheletrico umano al fine di calcolare il contributo del soggetto al movimento. L'uso di questo modello si rende necessario a causa delle relazioni non lineari tra gli EMG e le forze muscolari generate e quindi i momenti ai giunti. La stima delle forze di interazione che emergono durante la cooperazione uomo-robot può essere effettuata attraverso un modello di interazione che è fondamentalmente un insieme di modelli di contatto. A causa delle specifiche caratteristiche del nostro lavoro dedicato alla riabilitazione, questo modello di contatto richiede maggiori attenzioni. Per questo ho introdotto e validato una procedura per calibrare i modelli di contatto e migliorare l'accuratezza delle forze di interazione stimate. Uno dei problemi nell'usare i segnali EMG è che è necessario utilizzare degli elettrodi di superficie per acquisirli in modo non invasivo; questo però significa che la qualità dei dati raccolti è molto sensibile alla disposizione degli elettrodi e al loro decadimento, oltre che alle interferenze magnetiche e elettriche. In molti contesti, come la riabilitazione a casa, questo può costituire una forte limitazione. Una soluzione alternativa per evitare la misura diretta degli EMG è presentata in questo lavoro. L'idea è che per azioni ripetitive, che sono spesso di grande interesse nella riabilitazione, sia possibile sostituire la raccolta dati diretta con un modello degli EMG calibrato sul soggetto. L'obiettivo di questo lavoro è stato di proporre un approccio efficace per la stima delle iterazioni che emergono durante il movimento cooperativo uomo-robot. L'approccio Multi-Level Modeling, che è stato presentato in questa tesi, decompone questo problema complesso permettendo di sviluppare tutti i componenti necessari alla realizzazione di un sistema completo che sia in grado di raggiungere l'obiettivo finale.
Rowe, Justin Bradley. "Evaluating robotic assistance and developing a wearable hand activity monitor to improve upper extremity movement recovery after stroke". Thesis, University of California, Irvine, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3727453.
Texto completoIn their daily lives, stroke survivors must often choose between attempting upper-extremity activities using their impaired limb, or compensating with their less impaired limb. Choosing their impaired limb can be difficult and discouraging, but might elicit beneficial neuroplasticity that further reduces motor impairments, a phenomenon referred to as “the virtuous cycle”. In contrast, compensation is often quicker, easier, and more effective, but can reinforce maladaptive changes that limit motor recovery, a phenomenon referred to as “learned non-use”. This dissertation evaluated the role of robotic assistance in, and designed a wearable sensing system for, promoting the virtuous cycle.
In the first half of the dissertation, we use the FINGER robot to test the hypothesis that robotic assistance during clinical movement training triggers the virtual cycle. FINGER consists of two singly-actuated mechanisms that assist individuated movement of the index and middle fingers. 30 chronic stroke participants trained in FINGER using a GuitarHero-like game for nine sessions. Half were guided by an adaptive impedance controller towards a success rate of 85%, while the other half were guided towards 50%. Increasing assistance to enable successful practice decreased effort, but primarily for less-impaired participants. Overall, however, high success practice was as effective (or more) as low success practice and even more effective for highly impaired individuals. Participants who received high assistance training were more motivated and reported using their impaired hand more at home. These results support the hypothesis that high assistance clinical movement training motivates impaired hand use, leading to greater use of the hand in daily life, resulting in a self-training effect that reduces motor impairment.
The second half of the dissertation describes the development of the manumeter - a non-obtrusive wearable device for monitoring and incentivizing impaired hand use. Contrasted against wrist accelerometry (the most comparable technology), the manumeter uses a magnetic ring and a wristband with mangetometers to detect wrist and finger movement rather than gross arm movement. We describe 1) the inference of wrist and finger movement from differential magnetometer readings using a radial basis function network, 2) initial testing in which distance traveled estimates were within 94.7%±19.3 of their goniometricly measured values, 3) experiments with non-impaired participants in which the manumeter detected some functional activities better than wrist accelerometry, and 4) improvements to the hardware and data processing that allow both subject-independent tracking of the position of the finger relative to the wrist (RMS errors < 1cm) and highly reliable detection of whether the hand is open or closed. Its performance and non-obtrusive design make the manumeter well suited for measuring and reinforcing impaired hand use in daily life after stroke.
The contributions of this dissertation are experimental confirmation that high assistance movement training promotes the virtuous cycle, and development of a wearable sensor for monitoring hand movement in daily life. Training with robotic assistance and hand use feedback may ultimately help individuals with stroke recover to their full potential.
Perozzi, Marco. "A myo-controlled wearable manipulation system with tactile sensing for prosthetics studies". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25054/.
Texto completoPuehn, Christian G. "Development of a Low-Cost Social Robot for Personalized Human-Robot Interaction". Case Western Reserve University School of Graduate Studies / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=case1427889195.
Texto completoLibros sobre el tema "Wearable robotic"
L, Pons José, ed. Wearable robots: Biomechatronic exoskeletons. Hoboken: Wiley, 2008.
Buscar texto completoL, Pons José, ed. Wearable robots: Biomechatronic exoskeletons. Hoboken: Wiley, 2008.
Buscar texto completoL, Pons José, ed. Wearable robots: Biomechatronic exoskeletons. Hoboken: Wiley, 2008.
Buscar texto completoFang, Bin, Fuchun Sun, Huaping Liu, Chunfang Liu y Di Guo. Wearable Technology for Robotic Manipulation and Learning. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5124-6.
Texto completoMoreno, Juan C., Jawad Masood, Urs Schneider, Christophe Maufroy y Jose L. Pons, eds. Wearable Robotics: Challenges and Trends. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-69547-7.
Texto completoGonzález-Vargas, José, Jaime Ibáñez, Jose L. Contreras-Vidal, Herman van der Kooij y José Luis Pons, eds. Wearable Robotics: Challenges and Trends. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-46532-6.
Texto completoCarrozza, Maria Chiara, Silvestro Micera y José L. Pons, eds. Wearable Robotics: Challenges and Trends. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-01887-0.
Texto completoWearable robots. Chicago, IL: Norwood House Press, 2016.
Buscar texto completoAndrea, Gaggioli, ed. Advanced technologies in rehabilitation: Empowering cognitive, physical, social, and communicative skills through virtual reality, robots, wearable systems, and brain-computer interfaces. Amsterdam: IOS Press, 2009.
Buscar texto completoWearable Robots:: Biomechatronic Exoskeletons. Wiley, 2008.
Buscar texto completoCapítulos de libros sobre el tema "Wearable robotic"
Weinberg, Gil, Mason Bretan, Guy Hoffman y Scott Driscoll. "“Wear it”—Wearable Robotic Musicians". En Robotic Musicianship, 213–54. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38930-7_7.
Texto completoFang, Bin, Fuchun Sun, Huaping Liu, Chunfang Liu y Di Guo. "Wearable Sensors". En Wearable Technology for Robotic Manipulation and Learning, 33–63. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5124-6_2.
Texto completoFang, Bin, Fuchun Sun, Huaping Liu, Chunfang Liu y Di Guo. "Wearable Design and Computing". En Wearable Technology for Robotic Manipulation and Learning, 65–87. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5124-6_3.
Texto completoFang, Bin, Fuchun Sun, Huaping Liu, Chunfang Liu y Di Guo. "Applications of Developed Wearable Devices". En Wearable Technology for Robotic Manipulation and Learning, 89–123. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5124-6_4.
Texto completoYu, Shu-mei, Feng-feng Zhang, Meng Dou, Rong-chuan Sun y Li-ning Sun. "Unscented Transform-Based Correlation Between Surrogate and Tumor Motion in Robotic Radiosurgery". En Wearable Sensors and Robots, 239–49. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2404-7_19.
Texto completoSolis-Ortega, Rodrigo D., Abbas A. Dehghani-Sanij y Uriel Martinez-Hernandez. "Characterization of Kinetic and Kinematic Parameters for Wearable Robotics". En Towards Autonomous Robotic Systems, 548–56. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64107-2_44.
Texto completoBaraniecki, Lisa, Gina Hartnett, Linda Elliott, Rodger Pettitt, Jack Vice y Kenyon Riddle. "An Intuitive Wearable Concept for Robotic Control". En Human Interface and the Management of Information: Information, Knowledge and Interaction Design, 492–503. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58521-5_38.
Texto completoMei, Biao, Wei-dong Zhu y Ying-lin Ke. "Autofocus for Enhanced Measurement Accuracy of a Machine Vision System for Robotic Drilling". En Wearable Sensors and Robots, 333–52. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2404-7_27.
Texto completoFang, Bin, Fuchun Sun, Huaping Liu, Chunfang Liu y Di Guo. "Learning from Wearable-Based Teleoperation Demonstration". En Wearable Technology for Robotic Manipulation and Learning, 127–44. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5124-6_5.
Texto completoFang, Bin, Fuchun Sun, Huaping Liu, Chunfang Liu y Di Guo. "Learning from Wearable-Based Indirect Demonstration". En Wearable Technology for Robotic Manipulation and Learning, 173–203. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5124-6_7.
Texto completoActas de conferencias sobre el tema "Wearable robotic"
Yi, Juan, Xiaojiao Chen, Zhonggui Fang, Yujia Liu, Dehao Duanmu, Yinyin Su, Chaoyang Song, Sicong Liu y Zheng Wang. "A Soft Wearable Elbow Skeleton for Safe Motion Assistance by Variable Stiffness". En ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-90320.
Texto completoFernandes, Vinicius B. P., Jared A. Frank y Vikram Kapila. "A Wearable Interface for Intuitive Control of Robotic Manipulators Without User Training". En ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/esda2014-20128.
Texto completoFlechtner, Rahel, Katharina Lorenz y Gesche Joost. "Designing a Wearable Soft-Robotic Orthosis". En TEI '20: Fourteenth International Conference on Tangible, Embedded, and Embodied Interaction. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3374920.3375012.
Texto completoSchneider, Erich, Stefan Kohlbecher, Thomas Villgrattner, Klaus Bartl, Stanislavs Bardins, Tony Poitschke, Heinz Ulbrich y Thomas Brandt. "Vision system for wearable and robotic uses". En 2008 RO-MAN: The 17th IEEE International Symposium on Robot and Human Interactive Communication. IEEE, 2008. http://dx.doi.org/10.1109/roman.2008.4600633.
Texto completoHirai, Shinichi y Kazuhiro Kato. "Micro pneumatic valves for wearable robotic systems". En 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 2015. http://dx.doi.org/10.1109/roman.2015.7333584.
Texto completoHaoyong, Yu. "A Wearable Robotic Exoskeleton for Gait Rehabilitation". En The 3rd World Congress on Electrical Engineering and Computer Systems and Science. Avestia Publishing, 2017. http://dx.doi.org/10.11159/icbes17.117.
Texto completoAsin-Prieto, Guillermo, Eduardo Asin-Prieto, Aitor Martinez-Exposito, Jose L. Pons y Juan C. Moreno. "Tacit adaptability on submaximal force control for ankle robotic training". En 2019 Wearable Robotics Association Conference (WearRAcon). IEEE, 2019. http://dx.doi.org/10.1109/wearracon.2019.8719397.
Texto completoTerfurth, Jonathan y Nejila Parspour. "Integrated Planetary Gear Joint Actuator Concept for Wearable and Industrial Robotic Applications". En 2019 Wearable Robotics Association Conference (WearRAcon). IEEE, 2019. http://dx.doi.org/10.1109/wearracon.2019.8719400.
Texto completoMartori, Amanda L., Stephanie L. Carey, Redwan Alqasemi, Daniel Ashley y Rajiv V. Dubey. "Characterizing Suitability of Wearable Sensors for Movement Analysis Using a Programmed Robotic Motion". En ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-65064.
Texto completoVatsal, Vighnesh y Guy Hoffman. "Design and Analysis of a Wearable Robotic Forearm". En 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018. http://dx.doi.org/10.1109/icra.2018.8461212.
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