Control of bio-inspired multi-robots through gestures using convolutional neural networks in simulated environment (2021)
- Authors:
- Autor USP: PIAUILINO, ARATÃ ANDRADE SARAIVA ELVAS - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-030-58653-9_68
- Subjects: ROBÓTICA; VISÃO COMPUTACIONAL; REDES NEURAIS
- Keywords: Bio-inspired; Gestures; Robotic; VGG19; Googlenet; Alexnet
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Electrical Engineering
- Volume/Número/Paginação/Ano: v. 695, p. 707-718, 2021
- Conference titles: APCA International Conference on Automatic Control and Soft Computing - CONTROLO
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SARAIVA, Aratã Andrade et al. Control of bio-inspired multi-robots through gestures using convolutional neural networks in simulated environment. Lecture Notes in Electrical Engineering. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-58653-9_68. Acesso em: 27 dez. 2025. , 2021 -
APA
Saraiva, A. A., Santos, D. B. S., Ferreira, N. M. F., & Boaventura-Cunha, J. (2021). Control of bio-inspired multi-robots through gestures using convolutional neural networks in simulated environment. Lecture Notes in Electrical Engineering. Cham: Springer. doi:10.1007/978-3-030-58653-9_68 -
NLM
Saraiva AA, Santos DBS, Ferreira NMF, Boaventura-Cunha J. Control of bio-inspired multi-robots through gestures using convolutional neural networks in simulated environment [Internet]. Lecture Notes in Electrical Engineering. 2021 ; 695 707-718.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1007/978-3-030-58653-9_68 -
Vancouver
Saraiva AA, Santos DBS, Ferreira NMF, Boaventura-Cunha J. Control of bio-inspired multi-robots through gestures using convolutional neural networks in simulated environment [Internet]. Lecture Notes in Electrical Engineering. 2021 ; 695 707-718.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1007/978-3-030-58653-9_68 - Método de Compressão e Descompressão de Imagens DICOM Utilizando Duplo Cone
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Informações sobre o DOI: 10.1007/978-3-030-58653-9_68 (Fonte: oaDOI API)
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