Literature DB >> 26829794

State of the Art and Future Directions for Lower Limb Robotic Exoskeletons.

Aaron J Young, Daniel P Ferris.   

Abstract

Research on robotic exoskeletons has rapidly expanded over the previous decade. Advances in robotic hardware and energy supplies have enabled viable prototypes for human testing. This review paper describes current lower limb robotic exoskeletons, with specific regard to common trends in the field. The preponderance of published literature lacks rigorous quantitative evaluations of exoskeleton performance, making it difficult to determine the disadvantages and drawbacks of many of the devices. We analyzed common approaches in exoskeleton design and the convergence, or lack thereof, with certain technologies. We focused on actuators, sensors, energy sources, materials, and control strategies. One of the largest hurdles to be overcome in exoskeleton research is the user interface and control. More intuitive and flexible user interfaces are needed to increase the success of robotic exoskeletons. In the last section, we discuss promising future solutions to the major hurdles in exoskeleton control. A number of emerging technologies could deliver substantial advantages to existing and future exoskeleton designs. We conclude with a listing of the advantages and disadvantages of the emerging technologies and discuss possible futures for the field.

Entities:  

Mesh:

Year:  2016        PMID: 26829794     DOI: 10.1109/TNSRE.2016.2521160

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  59 in total

1.  Wearables for Pediatric Rehabilitation: How to Optimally Design and Use Products to Meet the Needs of Users.

Authors:  Michele A Lobo; Martha L Hall; Ben Greenspan; Peter Rohloff; Laura A Prosser; Beth A Smith
Journal:  Phys Ther       Date:  2019-06-01

2.  Design and Validation of a Lower-Limb Haptic Rehabilitation Robot.

Authors:  Alexander R Dawson-Elli; Peter G Adamczyk
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-07       Impact factor: 3.802

3.  Closing the Loop on Exoskeleton Motor Controllers: Benefits of Regression-Based Open-Loop Control.

Authors:  Greg Orekhov; Jason Luque; Zachary F Lerner
Journal:  IEEE Robot Autom Lett       Date:  2020-07-22

4.  Motion Intent Recognition in Intelligent Lower Limb Prosthesis Using One-Dimensional Dual-Tree Complex Wavelet Transforms.

Authors:  Min Sheng; Wan-Jun Wang; Ting-Ting Tong; Yuan-Yuan Yang; Hui-Lin Chen; Ben-Yue Su
Journal:  Comput Intell Neurosci       Date:  2021-11-24

5.  The Barriers of the Assistive Robotics Market-What Inhibits Health Innovation?

Authors:  Gabriel Aguiar Noury; Andreas Walmsley; Ray B Jones; Swen E Gaudl
Journal:  Sensors (Basel)       Date:  2021-04-29       Impact factor: 3.576

6.  Continuous Classification of Locomotion in Response to Task Complexity and Anticipatory State.

Authors:  Mahdieh Kazemimoghadam; Nicholas P Fey
Journal:  Front Bioeng Biotechnol       Date:  2021-04-22

7.  Exoskeleton Active Walking Assistance Control Framework Based on Frequency Adaptive Dynamics Movement Primitives.

Authors:  Shiyin Qiu; Wei Guo; Fusheng Zha; Jing Deng; Xin Wang
Journal:  Front Neurorobot       Date:  2021-05-20       Impact factor: 2.650

8.  Robot-mediated overground gait training for transfemoral amputees with a powered bilateral hip orthosis: a pilot study.

Authors:  Clara Beatriz Sanz-Morère; Elena Martini; Simona Crea; Raffaele Molino-Lova; Nicola Vitiello; Barbara Meoni; Gabriele Arnetoli; Antonella Giffone; Stefano Doronzio; Chiara Fanciullacci; Andrea Parri; Roberto Conti; Francesco Giovacchini; Þór Friðriksson; Duane Romo
Journal:  J Neuroeng Rehabil       Date:  2021-07-03       Impact factor: 4.262

9.  Locomotion Mode Recognition with Inertial Signals for Hip Joint Exoskeleton.

Authors:  Gang Du; Jinchen Zeng; Cheng Gong; Enhao Zheng
Journal:  Appl Bionics Biomech       Date:  2021-05-24       Impact factor: 1.781

10.  Outside testing of wearable robots for gait assistance shows a higher metabolic benefit than testing on treadmills.

Authors:  Florian Leander Haufe; Eléonore Gascou Duroyon; Peter Wolf; Robert Riener; Michele Xiloyannis
Journal:  Sci Rep       Date:  2021-07-21       Impact factor: 4.379

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