Single-Motor Ultraflexible Robotic (SMUFR) Humanoid Hand

Humanoid robotic hands have significant potential in easing human burden and augmenting human labor. This paper introduces the SMUFR hand, a compliant and dexterous robotic humanoid hand powered by tendon-driven mechanisms, and features flexible beam-based bending joints serving as rotary joints with bidirectional bending compliance that ensure safety during human-robot interaction. Despite its light weight of only 363 g without remote transmission and actuation components, the SMUFR hand can grasp and support loads of up to 4.2 kg in various orientations, manipulate objects of different sizes and shapes, and even operate underwater. Of particular note is the SMUFR hand’s lightweight and compact one-to-more actuation system, comprising six rotary pneumatic clutches (RPC) for six active Degrees of Freedom (DoFs), all powered by a single motor. Each RPC, weighing 75 g, can exert up to 23 N force on the tendon. This innovative transmission system distributes the power of a single motor across five fingers and holds potential for configuring additional RPCs. We also integrated all the components on a compact wearable vest for potential mobile humanoid robotic applications. Additionally, a mathematical model was developed to predict tendon force and joint bending using the constant curvature deformation hypothesis. Experimental validation demonstrates the durability of both the RPC and the beam-based fingers of the SMUFR hand, which are capable of enduring up to 22,000 and 30,000 cycles, respectively.

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Publication Details

Journal
IEEE Transactions on Medical Robotics and Bionics
Published
2024-09-19
DOI
https://doi.org/10.1109/tmrb.2024.3464107
Citations
5
Primary Topic
Neurological disorders and treatments
Type
article
Field-Weighted Citation Impact
1.85
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article

Single-Motor Ultraflexible Robotic (SMUFR) Humanoid Hand

Wenci Xin, Jonathan William Ambrose, Quan Xiong, Xuanyi Zhou et al.
5 citations
IEEE Transactions on Medical Robotics and Bionics
Neurological disorders and treatments
1.85
article

Single-Motor Ultraflexible Robotic (SMUFR) Humanoid Hand

Wenci Xin, Jonathan William Ambrose, Quan Xiong, Xuanyi Zhou, Chen‐Hua Yeow, Chao Wang, Dannuo Li
article en
5 citations

Abstract

Humanoid robotic hands have significant potential in easing human burden and augmenting human labor. This paper introduces the SMUFR hand, a compliant and dexterous robotic humanoid hand powered by tendon-driven mechanisms, and features flexible beam-based bending joints serving as rotary joints with bidirectional bending compliance that ensure safety during human-robot interaction. Despite its light weight of only 363 g without remote transmission and actuation components, the SMUFR hand can grasp and support loads of up to 4.2 kg in various orientations, manipulate objects of different sizes and shapes, and even operate underwater. Of particular note is the SMUFR hand’s lightweight and compact one-to-more actuation system, comprising six rotary pneumatic clutches (RPC) for six active Degrees of Freedom (DoFs), all powered by a single motor. Each RPC, weighing 75 g, can exert up to 23 N force on the tendon. This innovative transmission system distributes the power of a single motor across five fingers and holds potential for configuring additional RPCs. We also integrated all the components on a compact wearable vest for potential mobile humanoid robotic applications. Additionally, a mathematical model was developed to predict tendon force and joint bending using the constant curvature deformation hypothesis. Experimental validation demonstrates the durability of both the RPC and the beam-based fingers of the SMUFR hand, which are capable of enduring up to 22,000 and 30,000 cycles, respectively.

IEEE Transactions on Medical Robotics and BionicsVol. 6(4)
National University of Singapore (SG)
Affordable and clean energy
Openalex Percentile: Top 14%
Neurological disorders and treatments
1.85
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Single-Motor Ultraflexible Robotic (SMUFR) Humanoid Hand — Wenci Xin, Jonathan William Ambrose, et al. · IEEE Transactions on Medical Robotics and Bionics (2024) | TGRS Research Map | TGRS