Using ontology as a strategy for modeling the interface between the cognitive and robotic systems (2020)
- Authors:
- USP affiliated authors: ROMERO, ROSELI APARECIDA FRANCELIN - ICMC ; BELO, JOSÉ PEDRO RIBEIRO - ICMC
- Unidade: ICMC
- DOI: 10.1007/s10846-019-01076-0
- Subjects: ROBÓTICA; ROBÔS; ONTOLOGIA; SIMULAÇÃO
- Keywords: Social robotics; Cognitive robotics; Simulation and animation
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Journal of Intelligent and Robotic Systems
- ISSN: 0921-0296
- Volume/Número/Paginação/Ano: v. 99, n. 3-4, p. 431-449, Sep. 2020
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
AZEVEDO, Hélio e BELO, José Pedro Ribeiro e ROMERO, Roseli Aparecida Francelin. Using ontology as a strategy for modeling the interface between the cognitive and robotic systems. Journal of Intelligent and Robotic Systems, v. 99, n. 3-4, p. Se 2020, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10846-019-01076-0. Acesso em: 24 abr. 2024. -
APA
Azevedo, H., Belo, J. P. R., & Romero, R. A. F. (2020). Using ontology as a strategy for modeling the interface between the cognitive and robotic systems. Journal of Intelligent and Robotic Systems, 99( 3-4), Se 2020. doi:10.1007/s10846-019-01076-0 -
NLM
Azevedo H, Belo JPR, Romero RAF. Using ontology as a strategy for modeling the interface between the cognitive and robotic systems [Internet]. Journal of Intelligent and Robotic Systems. 2020 ; 99( 3-4): Se 2020.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s10846-019-01076-0 -
Vancouver
Azevedo H, Belo JPR, Romero RAF. Using ontology as a strategy for modeling the interface between the cognitive and robotic systems [Internet]. Journal of Intelligent and Robotic Systems. 2020 ; 99( 3-4): Se 2020.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s10846-019-01076-0 - Use of ontology to model the perception of the environment by a humanoid robot
- A social human-robot interaction simulator for reinforcement learning systems
- Deep Q-network for social robotics using emotional social signals
- Facial recognition experiments on a robotic system using one-shot learning
- Um simulador para robótica social aplicado a ambientes internos
- Aprendizado por reforço profundo para robótica social usando sinais sociais e emoções faciais
- Notes on system optimization with artificial neural networks
- System optimization with artificial neural networks: parallel implementation using transputers
- Neural network for n-stage optimal control problems
- Rede neural com realimentacao para resolver problemas de controle otimo
Informações sobre o DOI: 10.1007/s10846-019-01076-0 (Fonte: oaDOI API)
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