Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Reinhard M. Grassmann"'
Autor:
Reinhard M. Grassmann, Chengnan Shentu, Taqi Hamoda, Puspita Triana Dewi, Jessica Burgner-Kahrs
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Experiments on physical continuum robot are the gold standard for evaluations. Currently, as no commercial continuum robot platform is available, a large variety of early-stage prototypes exists. These prototypes are developed by individual research
Externí odkaz:
https://doaj.org/article/9e406a9eb5954ed689c0b11615c5dc8a
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
We propose a segment design that combines two distinct characteristics of tendon-driven continuum robots, i.e. variable length and non-straight tendon routing, into a single segment by enabling rotation of its backbone. As a result, this segment can
Externí odkaz:
https://doaj.org/article/e8166cd3932a47c58db1805711d67ce2
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22670b838fef08da052dc7c429e8aae1
https://doi.org/10.1109/iros47612.2022.9981719
https://doi.org/10.1109/iros47612.2022.9981719
Publikováno v:
IEEE Robotics and Automation Letters. 4:4192-4199
Smooth position and orientation interpolation has a great effect on the performance of robot manipulators. Interpolation between several via positions can be done in a straightforward manner, which is well covered in the literature. However, generati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b5b054921ee99c56e3c0336d31a79a1
https://doi.org/10.1109/lra.2019.2931133
https://doi.org/10.1109/lra.2019.2931133
Publikováno v:
ICRA
We introduce a methodology to compute the inverse kinematics for concentric tube continuum robots from a desired shape as input. We demonstrate that it is possible to accurately learn joint parameters using neural networks for a discrete point-wise s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47c6ee72722a632be8ff757a3dc53361
https://doi.org/10.1109/icra48506.2021.9562085
https://doi.org/10.1109/icra48506.2021.9562085
Publikováno v:
Robotics: Science and Systems XV.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e97a0125a669e4d56553798f51f9e98
https://doi.org/10.15607/rss.2019.xv.017
https://doi.org/10.15607/rss.2019.xv.017
Publikováno v:
IROS
Recent physics-based models of concentric tube continuum robots are able to describe pose of the tip, given the preformed translation and rotation in joint space of the robot. However, such model-based approaches are associated with high computationa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c305796d87b5c1c4fadb9af03e3f5a1
https://doi.org/10.1109/iros.2018.8594451
https://doi.org/10.1109/iros.2018.8594451
Publikováno v:
IROS
In this paper we introduce a novel point-to-point trajectory planner for serial robotic structures that combines the ability to avoid self-collisions and to respect motion constraints, while complying with the requirement of being $C^{4}$ continuous.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31133445d1cd9a2314c610413cf503c2
https://doi.org/10.1109/iros.2018.8594339
https://doi.org/10.1109/iros.2018.8594339