Giovanni Franzese

According to our database, Giovanni Franzese authored at least 20 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

MUKCa: Accurate and Affordable Cobot Calibration Without External Measurement Devices.

Giovanni Franzese, Max Spahn, Jens Kober, Cosimo Della Santina

CoRR, March, 2025

Real-Time Generation of Near-Minimum-Energy Trajectories via Constraint-Informed Residual Learning.

Domenico Dona', Giovanni Franzese, Cosimo Della Santina, Paolo Boscariol, Basilio Lenzo

CoRR, January, 2025

Generalizable Motion Policies Through Keypoint Parameterization and Transportation Maps.

Giovanni Franzese, Ravi Prakash, Cosimo Della Santina, Jens Kober

IEEE Trans. Robotics, 2025

2024

Do You Need a Hand? - A Bimanual Robotic Dressing Assistance Scheme.

Jihong Zhu, Michael Gienger, Giovanni Franzese, Jens Kober

IEEE Trans. Robotics, 2024

Mastering Contact-rich Tasks by Combining Soft and Rigid Robotics with Imitation Learning.

Mariano Ramírez Montero, Ebrahim Shahabi, Giovanni Franzese, Jens Kober, Barbara Mazzolai, Cosimo Della Santina

CoRR, 2024

ILeSiA: Interactive Learning of Situational Awareness from Camera Input.

Petr Vanc, Giovanni Franzese, Jan Kristof Behrens, Cosimo Della Santina, Karla Stépánová, Jens Kober

CoRR, 2024

Generalization of Task Parameterized Dynamical Systems using Gaussian Process Transportation.

Giovanni Franzese, Ravi Prakash, Jens Kober

CoRR, 2024

Learning Multi-Reference Frame Skills from Demonstration with Task-Parameterized Gaussian Processes.

Mariano Ramírez Montero, Giovanni Franzese, Jens Kober, Cosimo Della Santina

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

A Unifying Variational Framework for Gaussian Process Motion Planning.

Lucas Cosier, Rares Iordan, Sicelukwanda N. T. Zwane, Giovanni Franzese, James T. Wilson, Marc Peter Deisenroth, Alexander Terenin, Yasemin Bekiroglu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Adaptation Through Prediction: Multisensory Active Inference Torque Control.

Cristian Meo, Giovanni Franzese, Corrado Pezzato, Max Spahn, Pablo Lanillos

IEEE Trans. Cogn. Dev. Syst., March, 2023

2022

Learning to Pick at Non-Zero-Velocity From Interactive Demonstrations.

Anna Mészáros, Giovanni Franzese, Jens Kober

IEEE Robotics Autom. Lett., 2022

Interactive Imitation Learning in Robotics: A Survey.

Carlos Celemin, Rodrigo Pérez-Dattari, Eugenio Chisari, Giovanni Franzese, Leandro de Souza Rosa, Ravi Prakash, Zlatan Ajanovic, Marta Ferraz, Abhinav Valada, Jens Kober

Found. Trends Robotics, 2022

Interactive Imitation Learning of Bimanual Movement Primitives.

Giovanni Franzese, Leandro de Souza Rosa, Tim Verburg, Luka Peternel, Jens Kober

CoRR, 2022

Solving Robot Assembly Tasks by Combining Interactive Teaching and Self-Exploration.

Mariano Ramírez Montero, Giovanni Franzese, Jeroen Zwanepol, Jens Kober

CoRR, 2022

Damping Design for Robot Manipulators.

Tomás Coleman, Giovanni Franzese, Pablo Borja

Proceedings of the Human-Friendly Robotics 2022, 2022

2021

Teaching Robots to Grasp Like Humans: An Interactive Approach.

Anna Mészáros, Giovanni Franzese, Jens Kober

CoRR, 2021

Interactive Learning of Sensor Policy Fusion.

Bart Bootsma, Giovanni Franzese, Jens Kober

Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

ILoSA: Interactive Learning of Stiffness and Attractors.

Giovanni Franzese, Anna Mészáros, Luka Peternel, Jens Kober

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Interactive Learning of Temporal Features for Control: Shaping Policies and State Representations From Human Feedback.

Rodrigo Pérez-Dattari, Carlos Celemin, Giovanni Franzese, Javier Ruiz-del-Solar, Jens Kober

IEEE Robotics Autom. Mag., 2020

Learning Interactively to Resolve Ambiguity in Reference Frame Selection.

Giovanni Franzese, Carlos Celemin, Jens Kober

Proceedings of the 4th Conference on Robot Learning, 2020