1 citations · 1 across the 3 of their papers we have counts for
5 papers
Learning from Relative Action Credit for Escaping Local Minima
Giovanni Minelli, Giulio Turrisi, Lorenzo Amatucci +2
Reinforcement learning holds the promise of robots that learn manipulation skills from interaction alone, without pretrained priors or demonstration data. In practice, on-policy me…
From Tabletop to Walking Bot: Deploying a VLA Model on a Legged Manipulator Robot
Giovanni Minelli, Antonio Langella, Giovanni B. Dessy +4
Vision-language-action (VLA) models are typically pretrained on broad, diverse datasets and subsequently fine-tuned on a comparatively small dataset tailored to a specific target r…
BinWalker: Development and Field Evaluation of a Quadruped Manipulator Platform for Sustainable Litter Collection
Giulio Turrisi, Angelo Bratta, Giovanni Minelli +4
Litter pollution represents a growing environmental problem affecting natural and urban ecosystems worldwide. Waste discarded in public spaces often accumulates in areas that are d…
CroSTAta: Cross-State Transition Attention Transformer for Robotic Manipulation
Giovanni Minelli, Giulio Turrisi, Victor Barasuol +1
Learning robotic manipulation policies through supervised learning from demonstrations remains challenging when policies encounter execution variations not explicitly covered durin…
Towards Continual Reinforcement Learning for Quadruped Robots
Giovanni Minelli, Vassilis Vassiliades
Quadruped robots have emerged as an evolving technology that currently leverages simulators to develop a robust controller capable of functioning in the real-world without the need…