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Titolo Data di pubblicazione Autore(i) File
Deep learning techniques for modelling human manipulation and its translation for autonomous robotic grasping with soft end-effectors 1-gen-2021 Arapi, V.; Zhang, Y.; Averta, G.; Santina, C. D.; Bianchi, M.
Modeling Human Motor Skills to Enhance Robots’ Physical Interaction 1-gen-2021 Averta, Giuseppe; Arapi, Visar; Bicchi, Antonio; Santina, Cosimo della; Bianchi, Matteo
Grasp It like a Pro: Grasp of Unknown Objects with Robotic Hands Based on Skilled Human Expertise 1-gen-2020 Gabellieri, C.; Garabini, M.; Angelini, F.; Arapi, V.; Palleschi, A.; Catalano, M. G.; Grioli, G.; Pallottino, L.; Bicchi, A.; Bianchi, M.
To grasp or not to grasp: An end-to-end deep-learning approach for predicting grasping failures in soft hands 1-gen-2020 Arapi, V.; Zhang, Y.; Averta, G.; Catalano, M. G.; Rus, D.; Santina, C. D.; Bianchi, M.
DeepDynamicHand: A Deep Neural Architecture for Labeling Hand Manipulation Strategies in Video Sources Exploiting Temporal Information 1-gen-2018 Arapi, Visar; Della Santina, Cosimo; Bacciu, Davide; Bianchi, Matteo; Bicchi, Antonio
From humans to robots: The role of cutaneous impairment in human environmental constraint exploitation to inform the design of robotic hands 1-gen-2018 Averta, Giuseppe; Della Santina, Cosimo; Battaglia, Edoardo; Ciotti, Simone; Arapi, Visar; Fani, Simone; Bianchi, Matteo