2016 IEEE International Conference on Robotics and Automation (ICRA) 2016
DOI: 10.1109/icra.2016.7487562
|View full text |Cite
|
Sign up to set email alerts
|

Development of a polymer-based tendon-driven wearable robotic hand

Abstract: This paper presents the development of a polymer-based tendon-driven wearable robotic hand, Exo-Glove Poly. Unlike the previously developed Exo-Glove, a fabric-based tendon-driven wearable robotic hand, Exo-Glove Poly was developed using silicone to allow for sanitization between users in multiple-user environments such as hospitals. Exo-Glove Poly was developed to use two motors, one for the thumb and the other for the index/middle finger, and an under-actuation mechanism to grasp various objects. In order to… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
92
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
5
4

Relationship

1
8

Authors

Journals

citations
Cited by 139 publications
(113 citation statements)
references
References 12 publications
0
92
0
Order By: Relevance
“…For example, the NASA RoboGlove [10] and Soft Extra Muscle [11] devices exploit artificial tendons to actively control fingers flexion. Similar concepts are used in the Soft Robotics Exoskeleton [12], in the Exo-Glove [13], and in the Exo-Glove Poly [14]. Although lightweight on the hands, these devices mainly suffer from hindering natural somatosensation on palms and fingertips or from the lack of control over both flexion and extension of fingers.…”
Section: A Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…For example, the NASA RoboGlove [10] and Soft Extra Muscle [11] devices exploit artificial tendons to actively control fingers flexion. Similar concepts are used in the Soft Robotics Exoskeleton [12], in the Exo-Glove [13], and in the Exo-Glove Poly [14]. Although lightweight on the hands, these devices mainly suffer from hindering natural somatosensation on palms and fingertips or from the lack of control over both flexion and extension of fingers.…”
Section: A Related Workmentioning
confidence: 99%
“…Each task was repeated 10 times (trials) for each condition. In the Exoskeleton trials, the device was worn on the right hand and the subject was instructed to restrain any voluntary hand motion in order to let the exoskeleton autonomously [11] Thumb, medium, ring Flexion 12 ∼650 ∼50 Absent Limited Nycz et al [12] All Flexion, extension n/a n/a ∼50 Absent Absent In et al [13] Thumb, index, medium Flexion, extension 20 n/a 194 Absent Absent Kang et al [14] Thumb, index, medium Flexion, extension 29.5 1630 ∼50 Absent Limited Polygerinos et al [15] All Flexion 40 3300 285 Full Absent Varalta et al [16] All Flexion, extension n/a 5000 ∼50 Full Absent implement the task. During the experiment, the beginning and the end of each trial were signaled by graphical cues on a computer screen.…”
Section: Mechanical Characterizationmentioning
confidence: 99%
“…Most of the evidences about effectiveness of GDs are based in pilot studies with non-commercial prototypes [26][27][28][29][30], but nowadays, there are also several commercial glove-like devices that support hand rehabilitation therapies for these patients such as HandTutor ® [31,32], Music Glove [33][34][35], Rapael Smart Glove [36] or CyberTouch [16,37]. The main disadvantages of GDs are price, availability, because they are not yet widespread, and in some case the difficulty of setup handling and ergonomics.…”
Section: Technological Devices For Upper Limb Rehabilitationmentioning
confidence: 99%
“…Cyberdyne's HAL Lower Limb, Rewalk's Rewalk Personal and Rewalk Rehabilitation, and Rex Bionics' Rex P among many others provide lower limb rehabilitation and walking platforms for those with paralysis. Exoskeletons also exist in the academic research field, including ExoGlove Poly [26], the Wyss Institute's Soft Robotic Glove [34], HandSOME [12], Pisa/IIT SoftHand [10], and several others [8,31], which serve as platforms to research novel control algorithms.…”
Section: Introductionmentioning
confidence: 99%