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Collaborative draping of carbon fiber parts

Pubblicazioni

Clustering-based refinement for 3D human body parts segmentation

Autori: Barcellona, Leonardo; Terreran, Matteo; Evangelista, Daniele; Ghidoni, Stefano
Pubblicato in: Proceedings of the 17th International Conference on Intelligent Autonomous Systems, 2022
Editore: IAS Society
DOI: 10.5281/zenodo.6706376

From Human Perception and Action Recognition to Causal Understandingof Human-Robot Interaction in Industrial Environments

Autori: Stefano Ghidoni, Matteo Terreran, Daniele Evangelista, Emanuele Menegatti, Christian Eitzinger, Enrico Villagrossi, Nicola Pedrocchi, Nicola Castaman, Marcin Malecha, Sariah Mghames, Luca Castri, Marc Hanheide, Nicola Bellotto
Pubblicato in: Proceedings of the Ital-IA workshops, 2021
Editore: CINI national labs

Adaptive Impedance Controller for Human-Robot Arbitration based onCooperative Differential Game Theory

Autori: Paolo Franceschi, Nicola Pedrocchi, Manuel Beschi
Pubblicato in: Proceedings of 2022 International Conference on Robotics and Automation (ICRA), 2022
Editore: IEEE-RAS
DOI: 10.1109/icra46639.2022.9811853

Skeleton-based Action and Gesture Recognition for Human-Robot Collaboration

Autori: Terreran, Matteo; Lazzaretto, Margherita; Ghidoni, Stefano
Pubblicato in: Proceedings of the 17th International Conference on Intelligent Autonomous Systems, 2022
Editore: IAS society
DOI: 10.5281/zenodo.6706704

A Smart Workcell for Human-Robot CooperativeAssembly of Carbon Fiber Parts

Autori: Stefano Ghidoni, Matteo Terreran, Daniele Evangelista,Christian Eitzinger, Sebastian Zambal,Enrico Villagrossi, Nicola Pedrocchi,Nicola Castaman,Marcin Malecha
Pubblicato in: Proceedings of the I-RIM 3D conference, 2021
Editore: Third Italian Conference on Robotics and Intelligent Machines
DOI: 10.5281/zenodo.6367920

System concept for human robot collaborative draping

Autori: Christian Eitzinger, Christoph Frommel, Stefano Ghidoni, Enrico Villagrossi
Pubblicato in: SAMPE Europe Conference and Exhibition 2021, 2021, ISBN 978-90-829101-3-1
Editore: SAMPE

Multi-view Human Parsing for Human-Robot Collaboration

Autori: Terreran, Matteo; Barcellona, Leonardo; Evangelista, Daniele; Ghidoni, Stefano
Pubblicato in: Proceedings of the 20th International Conference on Advanced Robotics (ICAR), 2021
Editore: IEEE
DOI: 10.5281/zenodo.6706945

Trust Assessment in Human-Robot Collaboration Using IMU-BasedMotion Tracking in Collaborative Transport & Draping Tasks

Autori: Kasper Hald, Matthias Rehm
Pubblicato in: XXX, 2021
Editore: XXX