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Artigo de periodico
Real-time deep learning approach to visual servo control and grasp detection for autonomous robotic manipulation (2021)
Ribeiro, Eduardo Godinho; Mendes, Raul de Queiroz; Grassi Júnior, Valdir
Source: Robotics and Autonomous Systems. Unidade: EESC
Subjects: ROBÓTICA, APRENDIZAGEM PROFUNDA, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBEIRO, Eduardo Godinho e MENDES, Raul de Queiroz e GRASSI JÚNIOR, Valdir. Real-time deep learning approach to visual servo control and grasp detection for autonomous robotic manipulation. Robotics and Autonomous Systems, v. 139, p. 1-24, 2021Tradução . . Disponível em: http://dx.doi.org/10.1016/j.robot.2021.103757. Acesso em: 30 nov. 2025.
APA
Ribeiro, E. G., Mendes, R. de Q., & Grassi Júnior, V. (2021). Real-time deep learning approach to visual servo control and grasp detection for autonomous robotic manipulation. Robotics and Autonomous Systems, 139, 1-24. doi:10.1016/j.robot.2021.103757
NLM
Ribeiro EG, Mendes R de Q, Grassi Júnior V. Real-time deep learning approach to visual servo control and grasp detection for autonomous robotic manipulation [Internet]. Robotics and Autonomous Systems. 2021 ; 139 1-24.[citado 2025 nov. 30 ] Available from: http://dx.doi.org/10.1016/j.robot.2021.103757
Vancouver
Ribeiro EG, Mendes R de Q, Grassi Júnior V. Real-time deep learning approach to visual servo control and grasp detection for autonomous robotic manipulation [Internet]. Robotics and Autonomous Systems. 2021 ; 139 1-24.[citado 2025 nov. 30 ] Available from: http://dx.doi.org/10.1016/j.robot.2021.103757
Artigo de periodico
On deep learning techniques to boost monocular depth estimation for autonomous navigation (2021)
Mendes, Raul de Queiroz; Ribeiro, Eduardo Godinho; Rosa, Nícolas dos Santos ; Grassi Júnior, Valdir
Source: Robotics and Autonomous Systems. Unidade: EESC
Subjects: APRENDIZAGEM PROFUNDA, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MENDES, Raul de Queiroz et al. On deep learning techniques to boost monocular depth estimation for autonomous navigation. Robotics and Autonomous Systems, v. 136, p. 1-26, 2021Tradução . . Disponível em: http://dx.doi.org/10.1016/j.robot.2020.103701. Acesso em: 30 nov. 2025.
APA
Mendes, R. de Q., Ribeiro, E. G., Rosa, N. dos S., & Grassi Júnior, V. (2021). On deep learning techniques to boost monocular depth estimation for autonomous navigation. Robotics and Autonomous Systems, 136, 1-26. doi:10.1016/j.robot.2020.103701
NLM
Mendes R de Q, Ribeiro EG, Rosa N dos S, Grassi Júnior V. On deep learning techniques to boost monocular depth estimation for autonomous navigation [Internet]. Robotics and Autonomous Systems. 2021 ; 136 1-26.[citado 2025 nov. 30 ] Available from: http://dx.doi.org/10.1016/j.robot.2020.103701
Vancouver
Mendes R de Q, Ribeiro EG, Rosa N dos S, Grassi Júnior V. On deep learning techniques to boost monocular depth estimation for autonomous navigation [Internet]. Robotics and Autonomous Systems. 2021 ; 136 1-26.[citado 2025 nov. 30 ] Available from: http://dx.doi.org/10.1016/j.robot.2020.103701
Artigo de periodico
Feasibility of an optimal EMG-driven adaptive impedance control applied to an active knee orthosis (2019)
Peña, Guido Gomez; Consoni, Leonardo José; Santos, Wilian Miranda dos ; Siqueira, Adriano Almeida Gonçalves
Source: Robotics and Autonomous Systems. Unidade: EESC
Subjects: ROBÓTICA, PRÓTESES ORTOPÉDICAS, IMPEDÂNCIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEÑA, Guido Gomez et al. Feasibility of an optimal EMG-driven adaptive impedance control applied to an active knee orthosis. Robotics and Autonomous Systems, v. 112, p. 98-108, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.robot.2018.11.011. Acesso em: 30 nov. 2025.
APA
Peña, G. G., Consoni, L. J., Santos, W. M. dos, & Siqueira, A. A. G. (2019). Feasibility of an optimal EMG-driven adaptive impedance control applied to an active knee orthosis. Robotics and Autonomous Systems, 112, 98-108. doi:10.1016/j.robot.2018.11.011
NLM
Peña GG, Consoni LJ, Santos WM dos, Siqueira AAG. Feasibility of an optimal EMG-driven adaptive impedance control applied to an active knee orthosis [Internet]. Robotics and Autonomous Systems. 2019 ; 112 98-108.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1016/j.robot.2018.11.011
Vancouver
Peña GG, Consoni LJ, Santos WM dos, Siqueira AAG. Feasibility of an optimal EMG-driven adaptive impedance control applied to an active knee orthosis [Internet]. Robotics and Autonomous Systems. 2019 ; 112 98-108.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1016/j.robot.2018.11.011
Artigo de periodico
Feasibility of an optimal EMG-driven adaptive impedance control applied to an active knee orthosis (2019)
Peña, Guido Gomez; Consoni, Leonardo José; Santos, Wilian Miranda dos; Siqueira, Adriano Almeida Gonçalves
Source: Robotics and Autonomous Systems. Unidade: EESC
Subjects: CONTROLE ADAPTATIVO, ROBÓTICA, IMPEDÂNCIA ELÉTRICA, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEÑA, Guido Gomez et al. Feasibility of an optimal EMG-driven adaptive impedance control applied to an active knee orthosis. Robotics and Autonomous Systems, v. 112, p. 98-108, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.robot.2018.11.011. Acesso em: 30 nov. 2025.
APA
Peña, G. G., Consoni, L. J., Santos, W. M. dos, & Siqueira, A. A. G. (2019). Feasibility of an optimal EMG-driven adaptive impedance control applied to an active knee orthosis. Robotics and Autonomous Systems, 112, 98-108. doi:10.1016/j.robot.2018.11.011
NLM
Peña GG, Consoni LJ, Santos WM dos, Siqueira AAG. Feasibility of an optimal EMG-driven adaptive impedance control applied to an active knee orthosis [Internet]. Robotics and Autonomous Systems. 2019 ; 112 98-108.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1016/j.robot.2018.11.011
Vancouver
Peña GG, Consoni LJ, Santos WM dos, Siqueira AAG. Feasibility of an optimal EMG-driven adaptive impedance control applied to an active knee orthosis [Internet]. Robotics and Autonomous Systems. 2019 ; 112 98-108.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1016/j.robot.2018.11.011

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