TY - GEN
T1 - Investigation on the Shape Reconstruction of Cable-Driven Continuum Manipulators Considering Super-Large Deflections and Variable Structures
AU - Dai, Yicheng
AU - Li, Xiran
AU - Wang, Xin
AU - Yuan, Han
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - The Cable-driven continuum manipulator is a kind of robot with high flexibility and dexterity. It has been attracting extensive attention in the past few years due to its potential applications for complex tasks in confined spaces. However, it is a challenge to accurately obtain the manipulator’s shape, especially for super-large deflections, like more than 180 In this paper, a novel shape reconstruction method based on Bézier curves is proposed for cable-driven continuum manipulators considering super-large defections and variable structures. In addition, a variety of structures of continuum manipulators are considered, where five kinds of manipulators with variable cross sections are manufactured and tested. The feasibility of the proposed method is verified by both simulations and experiments. Results show that the shape reconstruction errors (root-mean-square-error) are all less than 2.35 mm, compared to the 180 mm long manipulators, under various manipulator structures.
AB - The Cable-driven continuum manipulator is a kind of robot with high flexibility and dexterity. It has been attracting extensive attention in the past few years due to its potential applications for complex tasks in confined spaces. However, it is a challenge to accurately obtain the manipulator’s shape, especially for super-large deflections, like more than 180 In this paper, a novel shape reconstruction method based on Bézier curves is proposed for cable-driven continuum manipulators considering super-large defections and variable structures. In addition, a variety of structures of continuum manipulators are considered, where five kinds of manipulators with variable cross sections are manufactured and tested. The feasibility of the proposed method is verified by both simulations and experiments. Results show that the shape reconstruction errors (root-mean-square-error) are all less than 2.35 mm, compared to the 180 mm long manipulators, under various manipulator structures.
KW - Bézier curve
KW - Continuum manipulators
KW - Shape reconstruction
KW - Super-large deflection
KW - Variable structures
UR - https://www.scopus.com/pages/publications/85136157293
U2 - 10.1007/978-3-031-13822-5_17
DO - 10.1007/978-3-031-13822-5_17
M3 - 会议稿件
AN - SCOPUS:85136157293
SN - 9783031138218
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 183
EP - 194
BT - Intelligent Robotics and Applications - 15th International Conference, ICIRA 2022, Proceedings
A2 - Liu, Honghai
A2 - Ren, Weihong
A2 - Yin, Zhouping
A2 - Liu, Lianqing
A2 - Jiang, Li
A2 - Gu, Guoying
A2 - Wu, Xinyu
PB - Springer Science and Business Media Deutschland GmbH
T2 - 15th International Conference on Intelligent Robotics and Applications, ICIRA 2022
Y2 - 1 August 2022 through 3 August 2022
ER -