Show simple item record

contributor authorWang, Zhengyu
contributor authorLiu, Xuchang
contributor authorJia, Zirui
contributor authorYu, Xiang
contributor authorPei, Zongkun
contributor authorYang, Jun
date accessioned2024-12-24T19:08:35Z
date available2024-12-24T19:08:35Z
date copyright3/5/2024 12:00:00 AM
date issued2024
identifier issn1942-4302
identifier otherjmr_16_10_101014.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303363
description abstractThis paper presents the design, calibration, and development of a novel cable-driven planar parallel continuum robot (PCR). The PCR employs a novel drive unit, which is mainly composed of cables, guiding pulleys, and miniature linear actuators. The kinematic model of the PCR is derived based on the constant curvature assumption and the space vector method, and its workspace and singularity are analyzed. In addition, this paper adopts a novel compound kinematic calibration method, which includes the linear calibration method in the robot-specific model and the use of genetic algorithm (GA) in the robot-independent model. To verify the validity of the calibration method, the pose accuracy is assessed by providing positional points on the elliptical trajectory, and the trajectory tracking accuracy is evaluated by using circular and rectangular trajectories. The experimental results show that the static positioning accuracy is maintained at 1 mm; meanwhile, the trajectory tracking accuracy is controlled within the range of 0.9–1.4 mm. The PCR developed in this paper shows good comprehensive performance by employing the proposed novel compound kinematic calibration method.
publisherThe American Society of Mechanical Engineers (ASME)
titleDevelopment of a New Cable-Driven Planar Parallel Continuum Robot Using Compound Kinematic Calibration Method
typeJournal Paper
journal volume16
journal issue10
journal titleJournal of Mechanisms and Robotics
identifier doi10.1115/1.4064670
journal fristpage101014-1
journal lastpage101014-13
page13
treeJournal of Mechanisms and Robotics:;2024:;volume( 016 ):;issue: 010
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record