Cargando…
Bin-Picking for Planar Objects Based on a Deep Learning Network: A Case Study of USB Packs
Random bin-picking is a prominent, useful, and challenging industrial robotics application. However, many industrial and real-world objects are planar and have oriented surface points that are not sufficiently compact and discriminative for those methods using geometry information, especially depth...
Autores principales: | Le, Tuan-Tang, Lin, Chyi-Yeu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720267/ https://www.ncbi.nlm.nih.gov/pubmed/31430924 http://dx.doi.org/10.3390/s19163602 |
Ejemplares similares
-
Depth Image–Based Deep Learning of Grasp Planning for Textureless Planar-Faced Objects in Vision-Guided Robotic Bin-Picking
por: Jiang, Ping, et al.
Publicado: (2020) -
A Power-Efficient Multiband Planar USB Dongle Antenna for Wireless Sensor Networks
por: Chiang, Wei-Yuan, et al.
Publicado: (2019) -
Data-Driven Object Pose Estimation in a Practical Bin-Picking Application
por: Kozák, Viktor, et al.
Publicado: (2021) -
USB explained
por: McDowell, Steven, et al.
Publicado: (1999) -
USB complete : everything you need to develop custom USB peripherals /
por: Axelson, Jan
Publicado: (2005)