From the 1 of 12 linked papers with an AI index.
10 papers · 1 filter
Robot Drummer: Learning Rhythmic Skills for Humanoid Drumming
Asad Ali Shahid, Francesco Braghin, Loris Roveda
The paper presents Robot Drummer, a simulation framework that trains humanoid robots to perform drumming by learning timed contact sequences using reinforcement learning.
From Vision to Assistance: Gaze and Vision-Enabled Adaptive Control for a Back-Support Exoskeleton
Alessandro Leanza, Paolo Franceschi, Blerina Spahiu +1
Back-support exoskeletons have been proposed to mitigate spinal loading in industrial handling, yet their effectiveness critically depends on timely and context-aware assistance. M…
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…
Benchmarking Population-Based Reinforcement Learning across Robotic Tasks with GPU-Accelerated Simulation
Asad Ali Shahid, Yashraj Narang, Vincenzo Petrone +5
In recent years, deep reinforcement learning (RL) has shown its effectiveness in solving complex continuous control tasks. However, this comes at the cost of an enormous amount of…
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…