On exploiting haptic cues for self-supervised learning of depth-based robot navigation affordances
This article presents a method for online learning of robot navigation affordances from spatiotemporally correlated haptic and depth cues. The method allows the robot to incrementally learn which objects present in the environment are actually traversable. This is a critical requirement for any whee...
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| Outros Autores: | , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2016
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10071/10505 |
| País: | Portugal |
| Oai: | oai:repositorio.iscte-iul.pt:10071/10505 |