Robot Task Planning via Deep Reinforcement Learning: a Tabletop Object Sorting Application. - Federico Ceola; Elisa Tosello; Luca Tagliapietra; Giorgio Nicola; Stefano Ghidoni (SMC, 2019)

Robotic Object Sorting via Deep Reinforcement Learning: a generalized approach. - Giorgio Nicola; Luca Tagliapietra; Elisa Tosello; Nicolò Navarin; Stefano Ghidoni; Emanuele Menegatti (RO-MAN, 2020)

Deep Reinforcement Learning for Motion Planning in Human Robot cooperative Scenarios. - Giorgio Nicola; Stefano Ghidoni (ETFA, 2021)

Towards optimal task positioning in multi-robot cells, using nested meta-heuristic swarm algorithms. - Stefano Mutti; Giorgio Nicola; Manuel Beschi; Nicola Pedrocchi; Lorenzo Molinari Tosatti (Robotics Comput. Integr. Manuf., 2021)

Human-robot co-manipulation of soft materials: enable a robot manual guidance using a depth map feedback. - Giorgio Nicola; Enrico Villagrossi; Nicola Pedrocchi (RO-MAN, 2022)

Depth image-based deformation estimation of deformable objects for collaborative mobile transportation. - Giorgio Nicola; Stefano Mutti; Enrico Villagrossi; Nicola Pedrocchi (RO-MAN, 2023)

Enabling Cognitive Robotics Through Autonomous Motion Planning and Model-Driven Intuitive Programming. - Antonio Venezia; Ileana Romata; Giorgio Nicola; Roberto Fausti; Massimiliano Nitti; Adriano Liso; Vito Renò; Nicola Pedrocchi; Manuel Beschi; Nicola Longo; Giovanni Di Stefano; Simone Panicucci (ERF (1), 2024)

Co-manipulation of soft-materials estimating deformation from depth images. - Giorgio Nicola; Enrico Villagrossi; Nicola Pedrocchi (Robotics Comput. Integr. Manuf., 2024)