Real-time Pipeline for Object Modeling and Grasping Pose Selection via Superquadric Functions
This work provides a novel real-time pipeline for modeling and grasping of unknown objects with a humanoid robot. Such a problem is of great interest for the robotic community, since conventional approaches fail when the shape, dimension, or pose of the objects are missing. Our approach reconstructs...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2017-11-01
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| Colecção: | Frontiers in Robotics and AI |
| Assuntos: | |
| Acesso em linha: | http://journal.frontiersin.org/article/10.3389/frobt.2017.00059/full |
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