Cargando…
A 3D-printed neuromorphic humanoid hand for grasping unknown objects
Compared with conventional von Neumann’s architecture-based processors, neuromorphic systems provide energy-saving in-memory computing. We present here a 3D neuromorphic humanoid hand designed for providing an artificial unconscious response based on training. The neuromorphic humanoid hand system m...
Autores principales: | Bao, Chao, Kim, Tae-Ho, Hassanpoor Kalhori, Amirhossein, Kim, Woo Soo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980759/ https://www.ncbi.nlm.nih.gov/pubmed/35391826 http://dx.doi.org/10.1016/j.isci.2022.104119 |
Ejemplares similares
-
3D designed battery-free wireless origami pressure sensor
por: Kim, Taeil, et al.
Publicado: (2022) -
Robot Intelligent Grasp of Unknown Objects Based on Multi-Sensor Information
por: Ji, Shan-Qian, et al.
Publicado: (2019) -
Event-Based Robotic Grasping Detection With Neuromorphic Vision Sensor and Event-Grasping Dataset
por: Li, Bin, et al.
Publicado: (2020) -
Manipulation of Unknown Objects to Improve the Grasp Quality Using Tactile Information
por: Montaño, Andrés, et al.
Publicado: (2018) -
Visual field preferences of object analysis for grasping with one hand
por: Le, Ada, et al.
Publicado: (2014)