9 citations · 13 across the 17 of their papers we have counts for
6 papers · 2 filters
DynaMimicGen: A Data Generation Framework for Robot Learning of Dynamic Tasks
Vincenzo Pomponi, Paolo Franceschi, Stefano Baraldo +4
Learning robust manipulation policies typically requires large and diverse datasets, the collection of which is time-consuming, labor-intensive, and often impractical for dynamic e…
Augmenting Neural Networks-Based Model Approximators in Robotic Force-Tracking Tasks
Kevin Saad, Vincenzo Petrone, Enrico Ferrentino +3
As robotics gains popularity, interaction control becomes crucial for ensuring force tracking in manipulator-based tasks. Typically, traditional interaction controllers either requ…
Robotic Skill Diversification via Active Mutation of Reward Functions in Reinforcement Learning During a Liquid Pouring Task
Jannick van Buuren, Roberto Giglio, Loris Roveda +1
This paper explores how deliberate mutations of reward function in reinforcement learning can produce diversified skill variations in robotic manipulation tasks, examined with a li…
ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph
Alessandro Leanza, Angelo Moroncelli, Giuseppe Vizzari +3
ConceptBot is a modular robotic planning framework that combines Large Language Models and Knowledge Graphs to generate feasible and risk-aware plans despite ambiguities in natural…
GEAR: Gaze-Enabled Human-Robot Collaborative Assembly
Asad Ali Shahid, Angelo Moroncelli, Drazen Brscic +2
Recent progress in robot autonomy and safety has significantly improved human-robot interactions, enabling robots to work alongside humans on various tasks. However, complex assemb…
Robot Drummer: Learning Rhythmic Skills for Humanoid Drumming
Asad Ali Shahid, Francesco Braghin, Loris Roveda
Humanoid robots have seen remarkable advances in dexterity, balance, and locomotion, yet their role in expressive domains such as music performance remains largely unexplored. Musi…