2022
DOI: 10.1108/ir-12-2021-0303
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DoraHand: a novel dexterous hand with tactile sensing finger module

Abstract: Purpose This study aims to introduce the DoraHand, and the basic capability and performance have been verified in this paper. Besides the idea of sharing modular design and sensor design, the authors want to deliver an affordable and practical dexterous hand to the research area to contribute to the robotic manipulation area. Design/methodology/approach This paper introduced the DoraHand, a novel scalable and practical modular dexterous hand, which, adopting modular finger and palm design, fully actuated joi… Show more

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Cited by 7 publications
(4 citation statements)
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“…DoraHand [30] is a modular dexterous hand designed by Dorabot Inc., Shenzhen, China. ‘The hand has two variants, three‐finger and five‐finger’.…”
Section: Dexterous Handmentioning
confidence: 99%
“…DoraHand [30] is a modular dexterous hand designed by Dorabot Inc., Shenzhen, China. ‘The hand has two variants, three‐finger and five‐finger’.…”
Section: Dexterous Handmentioning
confidence: 99%
“…It is driven by a linear embedded DC motor and can couple the index and middle fingers during flexion/extension movements, improving the grip stability of the dexterous hand. Shenzhen Dora bot company [9] has developed the world's first Dora Hand dexterous hand based on finger modular design. The dexterous hand has 3 fingers and 8 degrees of freedom, and is based on spring needles and locking mechanisms, as well as independent power and signal transmission, achieving hot swapping function for dexterous fingers.…”
Section: Introductionmentioning
confidence: 99%
“…However, the scenes with similar objects and object occlusion pose significant challenges to the visual algorithm. In this regard, the tactile sensor can be installed on the dexterous hand (Sundaralingam et al, 2019;Wang et al, 2019Wang et al, , 2022 to sense the material attributes of the object, such as texture (Tsuji and Kohama, 2019;Park et al, 2021) and roughness (Işleyen et al, 2019), to make up for the shortcomings of the visual sensor.…”
Section: Introductionmentioning
confidence: 99%