Human-Robot Interactive System for Warehouses using Speech SLAM and Deep Learning-based Barcode Recognition-Reference-Cited by-同舟云学术

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Human-Robot Interactive System for Warehouses using Speech SLAM and Deep Learning-based Barcode Recognition

Published:2024-06-26 Issue: Volume:33 Page:38-44
ISSN:
Container-title:Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments
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Author:

Nambiappan Harish Ram¹^ORCID,Nikanfar Sama¹^ORCID,Roy Ayon¹^ORCID,Hussain Joey¹^ORCID,Shinglot Deep¹^ORCID,Acharya Sneh¹^ORCID,Gans Nicholas²^ORCID,Makedon Fillia¹^ORCID

Affiliation:

1. The University of Texas at Arlington, United States

2. The University of Texas at Arlington Research Institute, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3652037.3652061

Reference27 articles.

1. Character Region Awareness for Text Detection

2. wav2vec 2.0: A framework for self-supervised learning of speech representations;Baevski Alexei;Advances in Neural Information Processing Systems,2020

3. Steve Banker. 2021. Warehouse Labor Woes Are Worse Than Ever. Forbes (2021).

4. Scene Text Recognition with Permuted Autoregressive Sequence Models

5. Daniela Cernega and Razvan Solea. 2020. Hybrid Control Application Using Mobile Visual Servoing for Flexible Manufacturing Mechatronics Line. In International Conference on System Theory, Control and Computing. 636–641.

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