Cable-movable rolling joint to expand workspace under high external load in a hyper-redundant manipulator

Authors
Kim, J.Kwon, S.Moon, Y.Kim, K.
Issue Date
2022-02
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE/ASME Transactions on Mechatronics, v.27, no.1, pp.501 - 512
Abstract
Hyper-redundant manipulators (HRMs) are widely used in minimally invasive surgery (MIS) because of their flexibility, dexterity, and compactness. However, when an external load acts on an HRM, its bending motion is disturbed and the workspace decreases. In addition, the external load increases the cable tension, and thin cables may break due to their low breaking strengths. This paper proposes a cable-movable rolling joint that increases the workspace for MIS under an external load and reduces the actuating cable tension through cable movement. Further, it presents an optimized motion estimation analysis method that verifies the manipulator performance by finding the equilibrium position and predicting the shape and tip position. The simulated manipulator exhibited a shape similar to that of the prototype and an average tip position difference of 4.59% based on the prototype length. Under an external load of 150 g, the workspace and cable tension of the prototype were 27.32% larger and 1.79 N lower than those of the conventional rolling joint, respectively. The new cable-movable mechanism and estimation analysis method will help improve the bending performance and position accuracy of HRMs for MIS. IEEE
Keywords
Industrial manipulators; Motion estimation; Redundant manipulators; Analysis method; Bending performance; Breaking strength; Conventional rolling; Equilibrium positions; Hyper-redundant manipulator; Minimally invasive surgery; Position accuracy; Cables; Industrial manipulators; Motion estimation; Redundant manipulators; Analysis method; Bending performance; Breaking strength; Conventional rolling; Equilibrium positions; Hyper-redundant manipulator; Minimally invasive surgery; Position accuracy; Cables; Bending; Force; Hyper-redundant manipulator; Load modeling; Manipulators; minimally invasive surgery; motion estimation analysis; Motion segmentation; Robots; Shape; surgical robot; under-actuated robot
ISSN
1083-4435
URI
https://pubs.kist.re.kr/handle/201004/115793
DOI
10.1109/TMECH.2021.3067335
Appears in Collections:
KIST Article > 2022
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