Visual shape and position sensing algorithm for a continuum robot
| Parent link: | IOP Conference Series: Materials Science and Engineering Vol. 1019 : 14th International Forum on Strategic Technology (IFOST 2019).— 2021.— [012066, 6 p.] |
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| Nhiều tác giả của công ty: | , |
| Tác giả khác: | , , , , , |
| Tóm tắt: | Title screen Continuum robots represent an actively developing and fast-growing technology in robotics. To successfully implement control and path planning of continuum robots it is important to develop an accurate three-dimensional shape and position sensing algorithm. In this paper, we propose an algorithm for the three-dimensional reconstruction of the continuum robot shape. The algorithm is performed during several steps. Initially, images from two cameras are processed by applying pre-processing and segmentation techniques. Then, the gradient descent method is applied to compare two-dimensional skeleton points of both masks. Having compared these points, it finds a skeleton of the robot in a threedimensional form. Additionally, the proposed algorithm is able to define key points using the distance from the robot base along the center line. The latter allows controlling the position of points of interest defined by a user. As a result, the developed algorithm achieved a relatively high level of accuracy and speed. |
| Được phát hành: |
2021
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| Những chủ đề: | |
| Truy cập trực tuyến: | http://earchive.tpu.ru/handle/11683/64567 https://doi.org/10.1088/1757-899X/1019/1/012066 |
| Định dạng: | Điện tử Chương của sách |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663574 |