Masala, Giovanni Luca and Esposito, Massimo and Maniscalco, Umberto and Calimera, Andrea, eds. (2022) Editorial: Language and Vision in Robotics: Emerging Neural and On-Device Approaches. Frontiers in Computer Science, 4 . ISSN 2095-2228. E-ISSN 2095-2236. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:101785)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication) | |
| Official URL: https://doi.org/10.3389/fcomp.2022.930067 |
Abstract
Endowing machines with the ability to represent and understand the physical world in which they live is a longstanding challenge in the AI research community. The last years have seen significant advancements in the fields of Natural Language Processing (NLP) and Computer Vision (CV) and the development of robotic hardware and accompanying algorithms.
| Item Type: | Edited Journal |
|---|---|
| Subjects: | Q Science > Q Science (General) > Q335 Artificial intelligence |
| Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
| Funders: | University of Kent (https://ror.org/00xkeyj56) |
| Depositing User: | Giovanni Masala |
| Date Deposited: | 21 Jun 2023 10:00 UTC |
| Last Modified: | 05 Nov 2024 13:07 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/101785 (The current URI for this page, for reference purposes) |
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