In-hand manipulation via deep reinforcement learning for industrial robots (2021)
Toledo, Leonardo V. O.; Lahr, Gustavo José Giardini; Caurin, Glauco Augusto de Paula 
Fonte: Multibody Mechatronic Systems: Papers from the MuSMe Conference in 2020. Nome do evento: MuSMe Conference. Unidades: EESC, EESC E ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ENGENHARIA MECÂNICA, ROBÓTICA
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TOLEDO, Leonardo V. O. e LAHR, Gustavo José Giardini e CAURIN, Glauco Augusto de Paula. In-hand manipulation via deep reinforcement learning for industrial robots. Multibody Mechatronic Systems: Papers from the MuSMe Conference in 2020. Tradução . Cham, Switzerland: Springer, 2021. p. 222-228. Disponível em: https://doi.org/10.1007/978-3-030-60372-4_25. Acesso em: 09 nov. 2024.APA
Toledo, L. V. O., Lahr, G. J. G., & Caurin, G. A. de P. (2021). In-hand manipulation via deep reinforcement learning for industrial robots. In Multibody Mechatronic Systems: Papers from the MuSMe Conference in 2020 (p. 222-228). Cham, Switzerland: Springer. doi:10.1007/978-3-030-60372-4_25NLM
Toledo LVO, Lahr GJG, Caurin GA de P. In-hand manipulation via deep reinforcement learning for industrial robots [Internet]. In: Multibody Mechatronic Systems: Papers from the MuSMe Conference in 2020. Cham, Switzerland: Springer; 2021. p. 222-228.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1007/978-3-030-60372-4_25Vancouver
Toledo LVO, Lahr GJG, Caurin GA de P. In-hand manipulation via deep reinforcement learning for industrial robots [Internet]. In: Multibody Mechatronic Systems: Papers from the MuSMe Conference in 2020. Cham, Switzerland: Springer; 2021. p. 222-228.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1007/978-3-030-60372-4_25
