Aiding Grasp Synthesis for Novel Objects Using Heuristic-Based and Data-Driven Active Vision Methods

In this work, we present several heuristic-based and data-driven active vision strategies for viewpoint optimization of an arm-mounted depth camera to aid robotic grasping. These strategies aim to efficiently collect data to boost the performance of an underlying grasp synthesis algorithm. We create...

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Detalles Bibliográficos
Autores principales: Natarajan, Sabhari, Brown, Galen, Calli, Berk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Robotics and AI
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320375/
https://www.ncbi.nlm.nih.gov/pubmed/34336936
http://dx.doi.org/10.3389/frobt.2021.696587

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320375/
https://www.ncbi.nlm.nih.gov/pubmed/34336936
http://dx.doi.org/10.3389/frobt.2021.696587

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