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Giulia Vezzani
Giulia Vezzani
DeepMind
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Title
Cited by
Cited by
Year
Learning complex dexterous manipulation with deep reinforcement learning and demonstrations
A Rajeswaran, V Kumar, A Gupta, J Schulman, E Todorov, S Levine
arXiv preprint arXiv:1709.10087, 2017
5412017
A grasping approach based on superquadric models
G Vezzani, U Pattacini, L Natale
2017 IEEE International Conference on Robotics and Automation (ICRA), 1579-1586, 2017
502017
Memory unscented particle filter for 6-DOF tactile localization
G Vezzani, U Pattacini, G Battistelli, L Chisci, L Natale
IEEE Transactions on Robotics 33 (5), 1139-1155, 2017
342017
Learning latent state representation for speeding up exploration
G Vezzani, A Gupta, L Natale, P Abbeel
arXiv preprint arXiv:1905.12621, 2019
262019
GRASPA 1.0: GRASPA is a robot arm grasping performance benchmark
F Bottarel, G Vezzani, U Pattacini, L Natale
IEEE Robotics and Automation Letters 5 (2), 836-843, 2020
192020
Improving superquadric modeling and grasping with prior on object shapes
G Vezzani, U Pattacini, G Pasquale, L Natale
2018 IEEE International Conference on Robotics and Automation (ICRA), 6875-6882, 2018
112018
A Novel Bayesian Filtering Approach to Tactile Object Recognition
G Vezzani, N Jamali, U Pattacini, G Battistelli, L Chisci, L Natale
IEEE International Conference on Humanoid Robots 2016, pp. 256 - 263, 2016
112016
Markerless visual servoing on unknown objects for humanoid robot platforms
C Fantacci, G Vezzani, U Pattacini, V Tikhanoff, L Natale
2018 IEEE International Conference on Robotics and Automation (ICRA), 3099-3106, 2018
82018
Is curiosity all you need? on the utility of emergent behaviours from curious exploration
O Groth, M Wulfmeier, G Vezzani, V Dasagi, T Hertweck, R Hafner, ...
arXiv preprint arXiv:2109.08603, 2021
62021
On multi-objective policy optimization as a tool for reinforcement learning
A Abdolmaleki, SH Huang, G Vezzani, B Shahriari, JT Springenberg, ...
arXiv preprint arXiv:2106.08199, 2021
62021
Learning complex dexterous manipulation with deep reinforcement learning and demonstrations. arXiv 2017
A Rajeswaran, V Kumar, A Gupta, G Vezzani, J Schulman, E Todorov, ...
arXiv preprint arXiv:1709.10087, 2017
62017
Maskukf: An instance segmentation aided unscented kalman filter for 6d object pose and velocity tracking
NA Piga, F Bottarel, C Fantacci, G Vezzani, U Pattacini, L Natale
Frontiers in Robotics and AI 8, 594583, 2021
52021
A novel pipeline for bi-manual handover task
G Vezzani, M Regoli, U Pattacini, L Natale
Advanced Robotics 31 (23-24), 1267-1280, 2017
52017
Learning transferable motor skills with hierarchical latent mixture policies
D Rao, F Sadeghi, L Hasenclever, M Wulfmeier, M Zambelli, G Vezzani, ...
arXiv preprint arXiv:2112.05062, 2021
32021
Magnetic 3-axis soft and sensitive fingertip sensors integration for the iCub humanoid robot
AC Holgado, N Piga, TP Tomo, G Vezzani, A Schmitz, L Natale, S Sugano
2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), 1-8, 2019
32019
A Constrained Multi-Objective Reinforcement Learning Framework
S Huang, A Abdolmaleki, G Vezzani, P Brakel, DJ Mankowitz, M Neunert, ...
Conference on Robot Learning, 883-893, 2022
12022
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning
A Abdolmaleki, S Huang, G Vezzani, B Shahriari, JT Springenberg, ...
2021
" What, not how": Solving an under-actuated insertion task from scratch
G Vezzani, M Neunert, M Wulfmeier, R Jeong, T Lampe, N Siegel, ...
arXiv preprint arXiv:2010.15492, 2020
2020
Real-time Pipeline for Object Modeling and Grasping Pose Selection via Superquadric Functions
G Vezzani, L Natale
Frontiers in Robotics and AI 4, 59, 2017
2017
Object Modeling and Grasping Pipeline based on Superquadric Models
G Vezzani, U Pattacini, L Natale
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Articles 1–20