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Artigo de periodico
Kinematic and dynamic data from a robotic assembly of aeronautical threaded fasteners (2023)
Lahr, Gustavo José Giardini; Silva, Thiago Henrique Segreto; Moreira, Guilherme Ribeiro; Boaventura, Thiago; Caurin, Glauco Augusto de Paula ; Ajoudani, Arash
Fonte: Data in Brief. Unidade: EESC
Assuntos: CINEMÁTICA, ROBÓTICA, ANÁLISE DE SÉRIES TEMPORAIS, ENGENHARIA MECÂNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LAHR, Gustavo José Giardini et al. Kinematic and dynamic data from a robotic assembly of aeronautical threaded fasteners. Data in Brief, v. 51, p. 1-6, 2023Tradução . . Disponível em: https://dx.doi.org/10.1016/j.dib.2023.109674. Acesso em: 18 ago. 2024.
APA
Lahr, G. J. G., Silva, T. H. S., Moreira, G. R., Boaventura, T., Caurin, G. A. de P., & Ajoudani, A. (2023). Kinematic and dynamic data from a robotic assembly of aeronautical threaded fasteners. Data in Brief, 51, 1-6. doi:10.1016/j.dib.2023.109674
NLM
Lahr GJG, Silva THS, Moreira GR, Boaventura T, Caurin GA de P, Ajoudani A. Kinematic and dynamic data from a robotic assembly of aeronautical threaded fasteners [Internet]. Data in Brief. 2023 ; 51 1-6.[citado 2024 ago. 18 ] Available from: https://dx.doi.org/10.1016/j.dib.2023.109674
Vancouver
Lahr GJG, Silva THS, Moreira GR, Boaventura T, Caurin GA de P, Ajoudani A. Kinematic and dynamic data from a robotic assembly of aeronautical threaded fasteners [Internet]. Data in Brief. 2023 ; 51 1-6.[citado 2024 ago. 18 ] Available from: https://dx.doi.org/10.1016/j.dib.2023.109674
Trabalho de evento
A hybrid model-based evolutionary optimization with passive boundaries for physical human-robot interaction (2022)
Lahr, Gustavo José Giardini; Garcia, Henrique Borges; Ajoudani, Arash; Boaventura, Thiago; Caurin, Glauco Augusto de Paula
Fonte: Proceedings. Nome do evento: IEEE International Conference on Robotics and Automation - ICRA 2022. Unidade: EESC
Assuntos: INTERAÇÃO HOMEM-MÁQUINA, ROBÓTICA, ENGENHARIA AERONÁUTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LAHR, Gustavo José Giardini et al. A hybrid model-based evolutionary optimization with passive boundaries for physical human-robot interaction. 2022, Anais.. Piscataway, NJ, USA: IEEE, 2022. Disponível em: https://doi.org/10.1109/ICRA46639.2022.9811606. Acesso em: 18 ago. 2024.
APA
Lahr, G. J. G., Garcia, H. B., Ajoudani, A., Boaventura, T., & Caurin, G. A. de P. (2022). A hybrid model-based evolutionary optimization with passive boundaries for physical human-robot interaction. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/ICRA46639.2022.9811606
NLM
Lahr GJG, Garcia HB, Ajoudani A, Boaventura T, Caurin GA de P. A hybrid model-based evolutionary optimization with passive boundaries for physical human-robot interaction [Internet]. Proceedings. 2022 ;[citado 2024 ago. 18 ] Available from: https://doi.org/10.1109/ICRA46639.2022.9811606
Vancouver
Lahr GJG, Garcia HB, Ajoudani A, Boaventura T, Caurin GA de P. A hybrid model-based evolutionary optimization with passive boundaries for physical human-robot interaction [Internet]. Proceedings. 2022 ;[citado 2024 ago. 18 ] Available from: https://doi.org/10.1109/ICRA46639.2022.9811606
Trabalho de evento
Genetic approach for coupled dynamics optimization in a multiple degree-of-freedom system (2020)
Lahr, Gustavo José Giardini; Marão, Luiz Afonso Batalha; Garcia, Henrique Borges; Boaventura, Thiago; Caurin, Glauco Augusto de Paula
Fonte: Proceedings. Nome do evento: IEEE International Symposium on Robotics. Unidade: EESC
Assuntos: ROBÔS, ALGORITMOS GENÉTICOS, IMPEDÂNCIA ELÉTRICA, ENGENHARIA AERONÁUTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LAHR, Gustavo José Giardini et al. Genetic approach for coupled dynamics optimization in a multiple degree-of-freedom system. 2020, Anais.. Piscataway, NJ, USA: IEEE, 2020. Disponível em: https://repositorio.usp.br/directbitstream/30798964-bff5-41c0-9fdf-b2dd7dd03e9d/09307457.pdf. Acesso em: 18 ago. 2024.
APA
Lahr, G. J. G., Marão, L. A. B., Garcia, H. B., Boaventura, T., & Caurin, G. A. de P. (2020). Genetic approach for coupled dynamics optimization in a multiple degree-of-freedom system. In Proceedings. Piscataway, NJ, USA: IEEE. Recuperado de https://repositorio.usp.br/directbitstream/30798964-bff5-41c0-9fdf-b2dd7dd03e9d/09307457.pdf
NLM
Lahr GJG, Marão LAB, Garcia HB, Boaventura T, Caurin GA de P. Genetic approach for coupled dynamics optimization in a multiple degree-of-freedom system [Internet]. Proceedings. 2020 ;[citado 2024 ago. 18 ] Available from: https://repositorio.usp.br/directbitstream/30798964-bff5-41c0-9fdf-b2dd7dd03e9d/09307457.pdf
Vancouver
Lahr GJG, Marão LAB, Garcia HB, Boaventura T, Caurin GA de P. Genetic approach for coupled dynamics optimization in a multiple degree-of-freedom system [Internet]. Proceedings. 2020 ;[citado 2024 ago. 18 ] Available from: https://repositorio.usp.br/directbitstream/30798964-bff5-41c0-9fdf-b2dd7dd03e9d/09307457.pdf
Trabalho de evento
Joint kinematic configuration influence on the passivity of an impedance-controlled robotic leg (2019)
Higa, Felipe Yukio; Lahr, Gustavo José Giardini; Caurin, Glauco Augusto de Paula ; Boaventura, Thiago
Fonte: Proceedings. Nome do evento: IEEE International Conference on Robotics and Automation - ICRA. Unidade: EESC
Assuntos: ROBÔS, CINEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HIGA, Felipe Yukio et al. Joint kinematic configuration influence on the passivity of an impedance-controlled robotic leg. 2019, Anais.. Piscataway, NJ, USA: IEEE, 2019. Disponível em: https://repositorio.usp.br/directbitstream/22a2b1f9-7bf9-438e-8410-94ccb568b5e6/trabalho%2002%20-%20Joint%20kinematic%20configuration%20influence%20on%20the%20passivity%20of%20an%20impedance-controlled%20robotic%20leg%20%282019%20International%20Conference%20on%20Robotics%20and%20Automation%20%28ICRA%29%29.pdf. Acesso em: 18 ago. 2024.
APA
Higa, F. Y., Lahr, G. J. G., Caurin, G. A. de P., & Boaventura, T. (2019). Joint kinematic configuration influence on the passivity of an impedance-controlled robotic leg. In Proceedings. Piscataway, NJ, USA: IEEE. Recuperado de https://repositorio.usp.br/directbitstream/22a2b1f9-7bf9-438e-8410-94ccb568b5e6/trabalho%2002%20-%20Joint%20kinematic%20configuration%20influence%20on%20the%20passivity%20of%20an%20impedance-controlled%20robotic%20leg%20%282019%20International%20Conference%20on%20Robotics%20and%20Automation%20%28ICRA%29%29.pdf
NLM
Higa FY, Lahr GJG, Caurin GA de P, Boaventura T. Joint kinematic configuration influence on the passivity of an impedance-controlled robotic leg [Internet]. Proceedings. 2019 ;[citado 2024 ago. 18 ] Available from: https://repositorio.usp.br/directbitstream/22a2b1f9-7bf9-438e-8410-94ccb568b5e6/trabalho%2002%20-%20Joint%20kinematic%20configuration%20influence%20on%20the%20passivity%20of%20an%20impedance-controlled%20robotic%20leg%20%282019%20International%20Conference%20on%20Robotics%20and%20Automation%20%28ICRA%29%29.pdf
Vancouver
Higa FY, Lahr GJG, Caurin GA de P, Boaventura T. Joint kinematic configuration influence on the passivity of an impedance-controlled robotic leg [Internet]. Proceedings. 2019 ;[citado 2024 ago. 18 ] Available from: https://repositorio.usp.br/directbitstream/22a2b1f9-7bf9-438e-8410-94ccb568b5e6/trabalho%2002%20-%20Joint%20kinematic%20configuration%20influence%20on%20the%20passivity%20of%20an%20impedance-controlled%20robotic%20leg%20%282019%20International%20Conference%20on%20Robotics%20and%20Automation%20%28ICRA%29%29.pdf
Trabalho de evento
Online prediction of threading task failure using convolutional neural networks (2018)
Moreira, Guilherme Ribeiro; Lahr, Gustavo José Giardini; Savazzi, José Otávio; Boaventura, Thiago; Caurin, Glauco Augusto de Paula
Fonte: Proceedings. Nome do evento: IEEE/RSJ International Conference on Intelligent Robots and Systems - IROS. Unidade: EESC
Assuntos: ROBÔS, FALHA, ENGENHARIA AERONÁUTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOREIRA, Guilherme Ribeiro et al. Online prediction of threading task failure using convolutional neural networks. 2018, Anais.. Piscataway, NJ, USA: IEEE, 2018. Disponível em: https://repositorio.usp.br/directbitstream/38ecd110-40a0-4e3b-bf1a-49ad06516f7d/trabalho%2006%20-%20Online%20prediction%20of%20threading%20task%20failure%20using%20Convolutional%20Neural%20Networks%20%282018%20IEEE-RSJ%20International%20Conference%20on%20Intelligent%20Robots%20and%20Systems%20%28IROS%29%29.pdf. Acesso em: 18 ago. 2024.
APA
Moreira, G. R., Lahr, G. J. G., Savazzi, J. O., Boaventura, T., & Caurin, G. A. de P. (2018). Online prediction of threading task failure using convolutional neural networks. In Proceedings. Piscataway, NJ, USA: IEEE. Recuperado de https://repositorio.usp.br/directbitstream/38ecd110-40a0-4e3b-bf1a-49ad06516f7d/trabalho%2006%20-%20Online%20prediction%20of%20threading%20task%20failure%20using%20Convolutional%20Neural%20Networks%20%282018%20IEEE-RSJ%20International%20Conference%20on%20Intelligent%20Robots%20and%20Systems%20%28IROS%29%29.pdf
NLM
Moreira GR, Lahr GJG, Savazzi JO, Boaventura T, Caurin GA de P. Online prediction of threading task failure using convolutional neural networks [Internet]. Proceedings. 2018 ;[citado 2024 ago. 18 ] Available from: https://repositorio.usp.br/directbitstream/38ecd110-40a0-4e3b-bf1a-49ad06516f7d/trabalho%2006%20-%20Online%20prediction%20of%20threading%20task%20failure%20using%20Convolutional%20Neural%20Networks%20%282018%20IEEE-RSJ%20International%20Conference%20on%20Intelligent%20Robots%20and%20Systems%20%28IROS%29%29.pdf
Vancouver
Moreira GR, Lahr GJG, Savazzi JO, Boaventura T, Caurin GA de P. Online prediction of threading task failure using convolutional neural networks [Internet]. Proceedings. 2018 ;[citado 2024 ago. 18 ] Available from: https://repositorio.usp.br/directbitstream/38ecd110-40a0-4e3b-bf1a-49ad06516f7d/trabalho%2006%20-%20Online%20prediction%20of%20threading%20task%20failure%20using%20Convolutional%20Neural%20Networks%20%282018%20IEEE-RSJ%20International%20Conference%20on%20Intelligent%20Robots%20and%20Systems%20%28IROS%29%29.pdf

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