From humans to robots: The role of cutaneous impairment in human environmental constraint exploitation to inform the design of robotic hands. - Giuseppe Averta; Cosimo Della Santina; Edoardo Battaglia; Simone Ciotti; Visar Arapi; Simone Fani; Matteo Bianchi 002 (ICUMT, 2017)

Postural Hand Synergies during Environmental Constraint Exploitation. - Cosimo Della Santina; Matteo Bianchi 002; Giuseppe Averta; Simone Ciotti; Visar Arapi; Simone Fani; Edoardo Battaglia; Manuel G. Catalano; Marco Santello; Antonio Bicchi (Frontiers Neurorobotics, 2017)

DeepDynamicHand: A Deep Neural Architecture for Labeling Hand Manipulation Strategies in Video Sources Exploiting Temporal Information. - Visar Arapi; Cosimo Della Santina; Davide Bacciu; Matteo Bianchi 002; Antonio Bicchi (Frontiers Neurorobotics, 2018)

Learning From Humans How to Grasp: A Data-Driven Architecture for Autonomous Grasping With Anthropomorphic Soft Hands. - Cosimo Della Santina; Visar Arapi; Giuseppe Averta; Francesca Damiani; Gaia Fiore; Alessandro Settimi; Manuel G. Catalano; Davide Bacciu; Antonio Bicchi; Matteo Bianchi 002 (IEEE Robotics Autom. Lett., 2019)

Modeling Human Motor Skills to Enhance Robots' Physical Interaction. - Giuseppe Averta; Visar Arapi; Antonio Bicchi; Cosimo Della Santina; Matteo Bianchi 002 (HFR, 2020)

To grasp or not to grasp: an end-to-end deep-learning approach for predicting grasping failures in soft hands. - Visar Arapi; Yujie Zhang; Giuseppe Averta; Manuel G. Catalano; Daniela Rus; Cosimo Della Santina; Matteo Bianchi 002 (RoboSoft, 2020)

Grasp It Like a Pro: Grasp of Unknown Objects With Robotic Hands Based on Skilled Human Expertise. - Chiara Gabellieri; Manolo Garabini; Franco Angelini; Visar Arapi; Alessandro Palleschi; Manuel G. Catalano; Giorgio Grioli; Lucia Pallottino; Antonio Bicchi; Matteo Bianchi 002 (IEEE Robotics Autom. Lett., 2020)

Understanding Human Manipulation With the Environment: A Novel Taxonomy for Video Labelling. - Visar Arapi; Cosimo Della Santina; Giuseppe Averta; Antonio Bicchi; Matteo Bianchi 002 (IEEE Robotics Autom. Lett., 2021)