Optimizing grasping in legged robots: a deep learning approach to loco-manipulation (2025)
Conference titles: IEEE Latin American Robotics Symposium - LARS. Unidade: EESCSubjects: ROBÔS, ROBÓTICA, ENGENHARIA MECÂNICA
ABNT
ALMEIDA, Dilermando et al. Optimizing grasping in legged robots: a deep learning approach to loco-manipulation. 2025, Anais.. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2025. Disponível em: http://dx.doi.org/10.1109/LARS69345.2025.11272962. Acesso em: 25 abr. 2026.APA
Almeida, D., Lazzarini, G., Negri, J. D., Segreto, T. H., Godoy, R. V. de, & Becker, M. (2025). Optimizing grasping in legged robots: a deep learning approach to loco-manipulation. In . Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/LARS69345.2025.11272962NLM
Almeida D, Lazzarini G, Negri JD, Segreto TH, Godoy RV de, Becker M. Optimizing grasping in legged robots: a deep learning approach to loco-manipulation [Internet]. 2025 ;[citado 2026 abr. 25 ] Available from: http://dx.doi.org/10.1109/LARS69345.2025.11272962Vancouver
Almeida D, Lazzarini G, Negri JD, Segreto TH, Godoy RV de, Becker M. Optimizing grasping in legged robots: a deep learning approach to loco-manipulation [Internet]. 2025 ;[citado 2026 abr. 25 ] Available from: http://dx.doi.org/10.1109/LARS69345.2025.11272962
