Giulia Vezzani

According to our database, Giulia Vezzani authored at least 28 papers between 2016 and 2024.

Collaborative distances:

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

2024

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation.

Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Manon Devin, Alex X. Lee, Maria Bauzá Villalonga, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo Fernandes Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, José Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess

Trans. Mach. Learn. Res., 2024

2023

SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration.

Giulia Vezzani, Dhruva Tirumala, Markus Wulfmeier, Dushyant Rao, Abbas Abdolmaleki, Ben Moran, Tuomas Haarnoja, Jan Humplik, Roland Hafner, Michael Neunert, Claudio Fantacci, Tim Hertweck, Thomas Lampe, Fereshteh Sadeghi, Nicolas Heess, Martin A. Riedmiller

Trans. Mach. Learn. Res., 2023

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation.

Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Devin, Alex X. Lee, Maria Bauzá, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo F. Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, José Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess

CoRR, 2023

2022

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code.

Nicola Agostino Piga, Fabrizio Bottarel, Claudio Fantacci, Giulia Vezzani, Ugo Pattacini, Lorenzo Natale

Dataset, July, 2022

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code.

Nicola Agostino Piga, Fabrizio Bottarel, Claudio Fantacci, Giulia Vezzani, Ugo Pattacini, Lorenzo Natale

Dataset, January, 2022

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code.

Nicola Agostino Piga, Fabrizio Bottarel, Claudio Fantacci, Giulia Vezzani, Ugo Pattacini, Lorenzo Natale

Dataset, January, 2022

Learning transferable motor skills with hierarchical latent mixture policies.

Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code.

Nicola Agostino Piga, Fabrizio Bottarel, Claudio Fantacci, Giulia Vezzani, Ugo Pattacini, Lorenzo Natale

Dataset, October, 2021

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code.

Nicola Agostino Piga, Fabrizio Bottarel, Claudio Fantacci, Giulia Vezzani, Ugo Pattacini, Lorenzo Natale

Dataset, September, 2021

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code.

Nicola Agostino Piga, Fabrizio Bottarel, Claudio Fantacci, Giulia Vezzani, Ugo Pattacini, Lorenzo Natale

Dataset, September, 2021

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking - Code.

Nicola Agostino Piga, Fabrizio Bottarel, Claudio Fantacci, Giulia Vezzani, Ugo Pattacini, Lorenzo Natale

Dataset, September, 2021

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking.

Nicola A. Piga, Fabrizio Bottarel, Claudio Fantacci, Giulia Vezzani, Ugo Pattacini, Lorenzo Natale

Frontiers Robotics AI, 2021

Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration.

Oliver Groth, Markus Wulfmeier, Giulia Vezzani, Vibhavari Dasagi, Tim Hertweck, Roland Hafner, Nicolas Heess, Martin A. Riedmiller

CoRR, 2021

On Multi-objective Policy Optimization as a Tool for Reinforcement Learning.

Abbas Abdolmaleki, Sandy H. Huang, Giulia Vezzani, Bobak Shahriari, Jost Tobias Springenberg, Shruti Mishra, Dhruva TB, Arunkumar Byravan, Konstantinos Bousmalis, András György, Csaba Szepesvári, Raia Hadsell, Nicolas Heess, Martin A. Riedmiller

CoRR, 2021

A Constrained Multi-Objective Reinforcement Learning Framework.

Sandy H. Huang, Abbas Abdolmaleki, Giulia Vezzani, Philemon Brakel, Daniel J. Mankowitz, Michael Neunert, Steven Bohez, Yuval Tassa, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

GRASPA 1.0: GRASPA is a Robot Arm graSping Performance BenchmArk.

Fabrizio Bottarel, Giulia Vezzani, Ugo Pattacini, Lorenzo Natale

IEEE Robotics Autom. Lett., 2020

"What, not how": Solving an under-actuated insertion task from scratch.

Giulia Vezzani, Michael Neunert, Markus Wulfmeier, Rae Jeong, Thomas Lampe, Noah Y. Siegel, Roland Hafner, Abbas Abdolmaleki, Martin A. Riedmiller, Francesco Nori

CoRR, 2020

2019

Sense, Think, Grasp: A study on visual and tactile information processing for autonomous manipulation.

Giulia Vezzani

PhD thesis, 2019

Learning latent state representation for speeding up exploration.

Giulia Vezzani, Abhishek Gupta, Lorenzo Natale, Pieter Abbeel

CoRR, 2019

Magnetic 3-axis Soft and Sensitive Fingertip Sensors Integration for the iCub Humanoid Robot.

Alexis C. Holgado, Nicola A. Piga, Tito Pradhono Tomo, Giulia Vezzani, Alexander Schmitz, Lorenzo Natale, Shigeki Sugano

Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019

2018

Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations.

Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, Giulia Vezzani, John Schulman, Emanuel Todorov, Sergey Levine

Proceedings of the Robotics: Science and Systems XIV, 2018

Improving Superquadric Modeling and Grasping with Prior on Object Shapes.

Giulia Vezzani, Ugo Pattacini, Giulia Pasquale, Lorenzo Natale

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Markerless Visual Servoing on Unknown Objects for Humanoid Robot Platforms.

Claudio Fantacci, Giulia Vezzani, Ugo Pattacini, Vadim Tikhanoff, Lorenzo Natale

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Memory Unscented Particle Filter for 6-DOF Tactile Localization.

Giulia Vezzani, Ugo Pattacini, Giorgio Battistelli, Luigi Chisci, Lorenzo Natale

IEEE Trans. Robotics, 2017

Real-time Pipeline for Object Modeling and Grasping Pose Selection via Superquadric Functions.

Giulia Vezzani, Lorenzo Natale

Frontiers Robotics AI, 2017

A novel pipeline for bi-manual handover task.

Giulia Vezzani, Massimo Regoli, Ugo Pattacini, Lorenzo Natale

Adv. Robotics, 2017

A grasping approach based on superquadric models.

Giulia Vezzani, Ugo Pattacini, Lorenzo Natale

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

A novel Bayesian filtering approach to tactile object recognition.

Giulia Vezzani, Nawid Jamali, Ugo Pattacini, Giorgio Battistelli, Luigi Chisci, Lorenzo Natale

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016