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dc.contributor.authorJu, Renjie
dc.contributor.authorZhang, Dong
dc.contributor.authorXu, Jiakai
dc.contributor.authorYuan, Hao
dc.contributor.authorMiao, Zhiwen
dc.contributor.authorZhou, Mengchu
dc.contributor.authorCao, Zhengcai
dc.date.accessioned2022-05-08T08:19:05Z
dc.date.available2022-05-08T08:19:05Z
dc.date.copyright4/21/2022 12:00:00 AM
dc.date.issued2022
dc.identifier.issn1942-4302
dc.identifier.otherjmr_14_6_064501.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4283794
dc.description.abstractModular manipulators have broad application prospects in the field of narrow confined space owing to their characteristics of superior dexterity. However, compared with traditional ones, their mechanism design, modeling, and inverse kinematics (IK) are challenging due to their special structures and redundant degrees-of-freedom. In this paper, a modular cable-driven manipulator (CDM) is designed. A lightweight and expandable structure is proposed to reduce weight of the whole manipulator and improve its environmental adaptability. To calibrate its global posture, angle sensors are equipped with its joints. Its kinematics are rigorously analyzed. To obtain the IK of a hyper-redundant CDM in real-time, a fast heuristic method with adaptive joint constraints is introduced. Then, a segmented IK strategy is proposed by extending the IK solver to local CDM, which realizes the local joint migration motion under the stable overall configuration. Finally, numerical simulations are conducted and a physical prototype is developed to carry out experiments. The results show that the designed CDM has great performance in dexterity and accuracy.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleDesign, Modeling, and Kinematics Analysis of a Modular Cable-Driven Manipulator
dc.typeJournal Paper
dc.journal.volume14
dc.journal.issue6
dc.journal.titleJournal of Mechanisms and Robotics
dc.identifier.doi10.1115/1.4054206
dc.journal.fristpage64501-1
dc.journal.lastpage64501-8
dc.page8
dc.treeJournal of Mechanisms and Robotics:;2022:;volume( 014 ):;issue: 006
dc.contenttypeFulltext


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