Category Archives: robotics

Paper accepted for ICRA 2019

A joint paper with the Hands and Haptics team at Centro Piaggio has just been accepted at the top-robotic confrence ICRA 2019 (and jointly to the IEEE Robotics and Automation Letters journal). A deep neural network learning, from humans, how to guide a robot arm in the manipulation of never-seen-before objects. Early access to the paper here: check out the upcoming videos of our system at work!

Della Santina Cosimo, Arapi Visar, Averta Giuseppe, Damiani Francesca, Fiore Gaia, Settimi Alessandro, Catalano Manuel Giuseppe, Bacciu Davide, Bicchi Antonio, Bianchi Matteo: Learning from humans how to grasp: a data-driven architecture for autonomous grasping with anthropomorphic soft hands. In: IEEE Robotics and Automation Letters, pp. 1-8, 2019, ISSN: 2377-3766, (Also accepted for presentation at ICRA 2019).

DeepDynamicHand paper now out

Check out my new joint work with Visar Arapi, Cosimo Della Santina, Matteo Bianchi and Antonio Bicchi. A deep learning based approach to recognize action primitives in video of object manipulation by humans. A first step towards automating robot manipulation skill acquisition from humans. 

Visar Arapi, Cosimo Della Santina, Davide Bacciu, Matteo Bianchi, Antonio Bicchi: DeepDynamicHand: A deep neural architecture for labeling hand manipulation strategies in video sources exploiting temporal information . In: Frontiers in Neurorobotics, vol. 12, pp. 86, 2018.

Special issue on Deep Learning and AI for Robotics

A research topic on “Scaling up Robotic Intelligence by Combining Symbolic AI with Deep Learning“, edited by Davide Bacciu, Amy Loutfi and Pieter Simoens, has just been launched as part of the Frontiers in Robotics and AI and Frontiers in Neurobotics journals.

We are now soliciting submission of manuscripts on the topic: manuscript submission deadline is on 10 December 2018 (with a non compulsory pre-submission abstract on November the 15th).

Check out the topic webpage or contact the editors for more information.