Cargando…
Point Pair Feature-Based Pose Estimation with Multiple Edge Appearance Models (PPF-MEAM) for Robotic Bin Picking
Automation of the bin picking task with robots entails the key step of pose estimation, which identifies and locates objects so that the robot can pick and manipulate the object in an accurate and reliable way. This paper proposes a novel point pair feature-based descriptor named Boundary-to-Boundar...
Autores principales: | Liu, Diyi, Arai, Shogo, Miao, Jiaqi, Kinugawa, Jun, Wang, Zhao, Kosuge, Kazuhiro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111311/ https://www.ncbi.nlm.nih.gov/pubmed/30126220 http://dx.doi.org/10.3390/s18082719 |
Ejemplares similares
-
A 6D Pose Estimation for Robotic Bin-Picking Using Point-Pair Features with Curvature (Cur-PPF)
por: Cui, Xining, et al.
Publicado: (2022) -
Data-Driven Object Pose Estimation in a Practical Bin-Picking Application
por: Kozák, Viktor, et al.
Publicado: (2021) -
Moving from PF-ILD to PPF
por: Bhattacharyya, Parthasarathi
Publicado: (2023) -
Learning Suction Graspability Considering Grasp Quality and Robot Reachability for Bin-Picking
por: Jiang, Ping, et al.
Publicado: (2022) -
Bin-picking: new approaches for a classical problem
por: Buchholz, Dirk
Publicado: (2016)