Cargando…
Dynamic Cloth Manipulation Considering Variable Stiffness and Material Change Using Deep Predictive Model With Parametric Bias
Dynamic manipulation of flexible objects such as fabric, which is difficult to modelize, is one of the major challenges in robotics. With the development of deep learning, we are beginning to see results in simulations and some actual robots, but there are still many problems that have not yet been...
Autores principales: | Kawaharazuka, Kento, Miki, Akihiro, Bando, Masahiro, Okada, Kei, Inaba, Masayuki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168129/ https://www.ncbi.nlm.nih.gov/pubmed/35677831 http://dx.doi.org/10.3389/fnbot.2022.890695 |
Ejemplares similares
-
Toward a Variable Stiffness Surgical Manipulator Based on Fiber Jamming Transition
por: Brancadoro, Margherita, et al.
Publicado: (2019) -
Fast and Flexible Multi-Step Cloth Manipulation Planning Using an Encode-Manipulate-Decode Network (EM*D Net)
por: Arnold, Solvi, et al.
Publicado: (2019) -
Parametric Analysis and Stiffness Investigation of Extended End-Plate Connection
por: Luo, Liang, et al.
Publicado: (2020) -
Reversible, Selective, Ultrawide‐Range Variable Stiffness Control by Spatial Micro‐Water Molecule Manipulation
por: Ha, Inho, et al.
Publicado: (2021) -
Materials and clothing in health and disease
Publicado: (1975)