2019
DOI: 10.1007/s40435-019-00548-3
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Design and control of an ergonomic robotic shoulder for wearable exoskeleton robot for rehabilitation

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Cited by 28 publications
(8 citation statements)
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“…Two parallel mechanisms, namely, the frontal and sagittal mechanisms, as shown in Figure 3 and Figure 4 , were used in the design of the ergonomic shoulder module. These mechanisms were described in detail in the author’s previous research [ 53 , 54 , 55 , 56 ]. When combined, these mechanisms allow for the mobility of the shoulder joint’s instantaneous center of rotation by providing movement in the frontal and sagittal planes, respectively.…”
Section: Development Of U-robmentioning
confidence: 99%
“…Two parallel mechanisms, namely, the frontal and sagittal mechanisms, as shown in Figure 3 and Figure 4 , were used in the design of the ergonomic shoulder module. These mechanisms were described in detail in the author’s previous research [ 53 , 54 , 55 , 56 ]. When combined, these mechanisms allow for the mobility of the shoulder joint’s instantaneous center of rotation by providing movement in the frontal and sagittal planes, respectively.…”
Section: Development Of U-robmentioning
confidence: 99%
“…In our previous research, a conceptual design of an ergonomic robotic shoulder for wearable upper limb exoskeleton was proposed. 51 The mechanisms used in that research were designed with an intention to be used in any exoskeleton. The ESMSP of u-Rob has adopted the design of that robotic shoulder with necessary adjustments and modifications.…”
Section: U-rob Shoulder Joint Mechanismmentioning
confidence: 99%
“…Even though the robot workspace is larger, this constraint significantly decreases the rehabilitation workspace. Many research groups have developed exoskeleton-type robots that can control each joint individually to address this barrier [ 6 , 8 , 9 , 10 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ]. Although several control algorithms/methods are developed to meet rehabilitation robot control requirements, the performance of human–robot interaction is still very insufficient.…”
Section: Introductionmentioning
confidence: 99%