3 papers
cs.RO2026
Simplifying ROS2 controllers with a modular architecture for robot-agnostic reference generation
Davide Risi, Vincenzo Petrone, Antonio Langella +3
This paper introduces a novel modular architecture for ROS2 that decouples the logic required to acquire, validate, and interpolate references from the control laws that track them…
cs.RO2025
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…
cs.RO2025
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…