Giovanni Franzese

Orcid: 0000-0002-9863-0291

According to our database1, Giovanni Franzese authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Do You Need a Hand? - A Bimanual Robotic Dressing Assistance Scheme.
IEEE Trans. Robotics, 2024

Mastering Contact-rich Tasks by Combining Soft and Rigid Robotics with Imitation Learning.
CoRR, 2024

ILeSiA: Interactive Learning of Situational Awareness from Camera Input.
CoRR, 2024

Generalization of Task Parameterized Dynamical Systems using Gaussian Process Transportation.
CoRR, 2024

A Unifying Variational Framework for Gaussian Process Motion Planning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Adaptation Through Prediction: Multisensory Active Inference Torque Control.
IEEE Trans. Cogn. Dev. Syst., March, 2023

2022
Learning to Pick at Non-Zero-Velocity From Interactive Demonstrations.
IEEE Robotics Autom. Lett., 2022

Interactive Imitation Learning in Robotics: A Survey.
Found. Trends Robotics, 2022

Interactive Imitation Learning of Bimanual Movement Primitives.
CoRR, 2022

Solving Robot Assembly Tasks by Combining Interactive Teaching and Self-Exploration.
CoRR, 2022

Damping Design for Robot Manipulators.
Proceedings of the Human-Friendly Robotics 2022, 2022

2021
Teaching Robots to Grasp Like Humans: An Interactive Approach.
CoRR, 2021

Interactive Learning of Sensor Policy Fusion.
Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

ILoSA: Interactive Learning of Stiffness and Attractors.
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.
IEEE Robotics Autom. Mag., 2020

Learning Interactively to Resolve Ambiguity in Reference Frame Selection.
Proceedings of the 4th Conference on Robot Learning, 2020


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