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  • Source: IEEE Robotics and Automation Letters. Unidade: EESC

    Subjects: INTERAÇÃO HOMEM-MÁQUINA, REDES NEURAIS, ENGENHARIA MECÂNICA

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    • ABNT

      NOPPENEY, Victor Tamassia et al. Human: the human motion anticipation algorithm based on recurrent neural networks. IEEE Robotics and Automation Letters, v. 9, n. 12, p. 11521-11528, 2024Tradução . . Disponível em: https://dx.doi.org/10.1109/LRA.2024.3495572. Acesso em: 28 nov. 2025.
    • APA

      Noppeney, V. T., Escalante, F. M., Maggi, L. O., & Cunha, T. B. (2024). Human: the human motion anticipation algorithm based on recurrent neural networks. IEEE Robotics and Automation Letters, 9( 12), 11521-11528. doi:10.1109/LRA.2024.3495572
    • NLM

      Noppeney VT, Escalante FM, Maggi LO, Cunha TB. Human: the human motion anticipation algorithm based on recurrent neural networks [Internet]. IEEE Robotics and Automation Letters. 2024 ; 9( 12): 11521-11528.[citado 2025 nov. 28 ] Available from: https://dx.doi.org/10.1109/LRA.2024.3495572
    • Vancouver

      Noppeney VT, Escalante FM, Maggi LO, Cunha TB. Human: the human motion anticipation algorithm based on recurrent neural networks [Internet]. IEEE Robotics and Automation Letters. 2024 ; 9( 12): 11521-11528.[citado 2025 nov. 28 ] Available from: https://dx.doi.org/10.1109/LRA.2024.3495572
  • Source: IEEE Robotics and Automation Letters. Unidade: EESC

    Subjects: ELETROMIOGRAFIA, SISTEMA MUSCULOSQUELÉTICO

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      GODOY, Ricardo Vilela de et al. Electromyography-based, robust hand motion classification employing temporal multi-channel vision transformers. IEEE Robotics and Automation Letters, v. 7, n. 4, p. 10200-10207, 2022Tradução . . Disponível em: https://doi.org/10.1109/LRA.2022.3192623. Acesso em: 28 nov. 2025.
    • APA

      Godoy, R. V. de, Lahr, G. J. G., Dwivedi, A., Reis, T. J. S. dos, Polegato, P. H., Becker, M., et al. (2022). Electromyography-based, robust hand motion classification employing temporal multi-channel vision transformers. IEEE Robotics and Automation Letters, 7( 4), 10200-10207. doi:10.1109/LRA.2022.3192623
    • NLM

      Godoy RV de, Lahr GJG, Dwivedi A, Reis TJS dos, Polegato PH, Becker M, Caurin GA de P, Liarokapis M. Electromyography-based, robust hand motion classification employing temporal multi-channel vision transformers [Internet]. IEEE Robotics and Automation Letters. 2022 ; 7( 4): 10200-10207.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/LRA.2022.3192623
    • Vancouver

      Godoy RV de, Lahr GJG, Dwivedi A, Reis TJS dos, Polegato PH, Becker M, Caurin GA de P, Liarokapis M. Electromyography-based, robust hand motion classification employing temporal multi-channel vision transformers [Internet]. IEEE Robotics and Automation Letters. 2022 ; 7( 4): 10200-10207.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/LRA.2022.3192623
  • Source: IEEE Robotics and Automation Letters. Unidade: EESC

    Subjects: ROBÔS, IMPEDÂNCIA ELÉTRICA, ENGENHARIA MECÂNICA

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    • ABNT

      ABU-DAKKA, Fares J. et al. Editorial: variable impedance control and learning in complex interaction scenarios: challenges and opportunities. IEEE Robotics and Automation Letters, v. 7, n. 4, p. 12158-12160, 2022Tradução . . Disponível em: https://doi.org/10.1109/LRA.2022.3213197. Acesso em: 28 nov. 2025.
    • APA

      Abu-Dakka, F. J., Saveriano, M., Huber, M. E., & Cunha, T. B. (2022). Editorial: variable impedance control and learning in complex interaction scenarios: challenges and opportunities. IEEE Robotics and Automation Letters, 7( 4), 12158-12160. doi:10.1109/LRA.2022.3213197
    • NLM

      Abu-Dakka FJ, Saveriano M, Huber ME, Cunha TB. Editorial: variable impedance control and learning in complex interaction scenarios: challenges and opportunities [Internet]. IEEE Robotics and Automation Letters. 2022 ; 7( 4): 12158-12160.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/LRA.2022.3213197
    • Vancouver

      Abu-Dakka FJ, Saveriano M, Huber ME, Cunha TB. Editorial: variable impedance control and learning in complex interaction scenarios: challenges and opportunities [Internet]. IEEE Robotics and Automation Letters. 2022 ; 7( 4): 12158-12160.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/LRA.2022.3213197
  • Source: IEEE Robotics and Automation Letters. Unidade: EESC

    Subjects: SENSORES ÓPTICOS, FILTROS DE KALMAN, ROBÓTICA, REABILITAÇÃO

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    • ABNT

      PÉREZ IBARRA, Juan Carlos et al. Adaptive impedance control applied to robot-aided neuro-rehabilitation of the ankle. IEEE Robotics and Automation Letters, v. 4, n. 2, p. 185-195, 2019Tradução . . Disponível em: https://doi.org/10.1109/LRA.2018.2885165. Acesso em: 28 nov. 2025.
    • APA

      Pérez Ibarra, J. C., Siqueira, A. A. G., Silva-Couto, M. A., Russo, T. L., & Krebs, H. I. (2019). Adaptive impedance control applied to robot-aided neuro-rehabilitation of the ankle. IEEE Robotics and Automation Letters, 4( 2), 185-195. doi:10.1109/LRA.2018.2885165
    • NLM

      Pérez Ibarra JC, Siqueira AAG, Silva-Couto MA, Russo TL, Krebs HI. Adaptive impedance control applied to robot-aided neuro-rehabilitation of the ankle [Internet]. IEEE Robotics and Automation Letters. 2019 ; 4( 2): 185-195.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/LRA.2018.2885165
    • Vancouver

      Pérez Ibarra JC, Siqueira AAG, Silva-Couto MA, Russo TL, Krebs HI. Adaptive impedance control applied to robot-aided neuro-rehabilitation of the ankle [Internet]. IEEE Robotics and Automation Letters. 2019 ; 4( 2): 185-195.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/LRA.2018.2885165

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