Giulio Giacomuzzo

According to our database, Giulio Giacomuzzo authored at least 15 papers between 2022 and 2025.

Collaborative distances:

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

2025

Learning global control of underactuated systems with Model-Based Reinforcement Learning.

Niccolò Turcato, Marco Calì, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres

CoRR, April, 2025

Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition.

Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera, Jean Seong Bjorn Choe, BumKyu Choi, Tim Lukas Faust, Habib Maraqten, Erfan Aghadavoodi, Marco Calì, Alberto Sinigaglia, Giulio Giacomuzzo, Diego Romeres, Jong-Kook Kim, Gian Antonio Susto, Shubham Vyas, Dennis Mronga, Boris Belousov, Jan Peters, Frank Kirchner, Shivesh Kumar

CoRR, March, 2025

Data efficient Robotic Object Throwing with Model-Based Reinforcement Learning.

Niccolò Turcato, Giulio Giacomuzzo, Matteo Terreran, Davide Allegro, Ruggero Carli, Alberto Dalla Libera

CoRR, February, 2025

A Robust Controller based on Gaussian Processes for Robotic Manipulators with Unknown Uncertainty.

Giulio Giacomuzzo, Mohamed Abdelwahab, Marco Calì, Alberto Dalla Libera, Ruggero Carli

Proceedings of the 33rd Mediterranean Conference on Control and Automation, 2025

Accelerating Model-Based Reinforcement Learning using Non-Linear Trajectory Optimization.

Marco Calì, Giulio Giacomuzzo, Ruggero Carli, Alberto Dalla Libera

Proceedings of the 33rd Mediterranean Conference on Control and Automation, 2025

2024

A Black-Box Physics-Informed Estimator Based on Gaussian Process Regression for Robot Inverse Dynamics Identification.

Giulio Giacomuzzo, Ruggero Carli, Diego Romeres, Alberto Dalla Libera

IEEE Trans. Robotics, 2024

Learning control of underactuated double pendulum with Model-Based Reinforcement Learning.

Niccolò Turcato, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres

CoRR, 2024

Lagrangian inspired polynomial estimator for black-box learning and control of underactuated systems.

Giulio Giacomuzzo, Riccardo Cescon, Diego Romeres, Ruggero Carli, Alberto Dalla Libera

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

DECAF: a Discrete-Event based Collaborative Human-Robot Framework for Furniture Assembly.

Giulio Giacomuzzo, Matteo Terreran, Siddarth Jain, Diego Romeres

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

Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition.

Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera, Chi Zhang, Théo Vincent, Shubham Vyas, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres, Akhil Sathuluri, Markus Zimmermann, Boris Belousov, Jan Peters, Frank Kirchner, Shivesh Kumar

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Adaptive Robust Controller for handling Unknown Uncertainty of Robotic Manipulators.

Mohamed Abdelwahab, Giulio Giacomuzzo, Alberto Dalla Libera, Ruggero Carli

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning.

Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Daniel Nikovski, Diego Romeres

CoRR, 2023

Teaching a Robot to Toss Arbitrary Objects with Model-Based Reinforcement Learning.

Niccolo' Turcato, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli

Proceedings of the 9th International Conference on Control, 2023

Motor-level Nonlinear Model Predictive Control for a Tilting Quadrotor.

Beniamino Pozzan, Giulio Giacomuzzo, Mattia Bruschetta, Ruggero Carli, Angelo Cenedese

Proceedings of the IEEE Conference on Control Technology and Applications, 2023

2022

Advantages of a physics-embedding kernel for robot inverse dynamics identification.

Giulio Giacomuzzo, Niccolo' Turcato, Alberto Dalla Libera, Ruggero Carli

Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022