activity
20182025
most citedGym-Ignition: Reproducible Robotic Simulations for Reinforcement Learning

26 citations · 44 across the 4 of their papers we have counts for

collaborators

7 papers

cs.RO2025

Stabilizing Humanoid Robot Trajectory Generation via Physics-Informed Learning and Control-Informed Steering

Evelyn D'Elia, Paolo Maria Viceconte, Lorenzo Rapetti +5

Recent trends in humanoid robot control have successfully employed imitation learning to enable the learned generation of smooth, human-like trajectories from human data. While the…

cs.RO2021★ 18 cited

On the Emergence of Whole-body Strategies from Humanoid Robot Push-recovery Learning

Diego Ferigo, Raffaello Camoriano, Paolo Maria Viceconte +4

Balancing and push-recovery are essential capabilities enabling humanoid robots to solve complex locomotion tasks. In this context, classical control systems tend to be based on si…

cs.RO2019★ 26 cited

Gym-Ignition: Reproducible Robotic Simulations for Reinforcement Learning

Diego Ferigo, Silvio Traversaro, Giorgio Metta +1

This paper presents Gym-Ignition, a new framework to create reproducible robotic environments for reinforcement learning research. It interfaces with the new generation of Gazebo,…

cs.RO2019

Whole-Body Geometric Retargeting for Humanoid Robots

Kourosh Darvish, Yeshasvi Tirupachuri, Giulio Romualdi +4

Humanoid robot teleoperation allows humans to integrate their cognitive capabilities with the apparatus to perform tasks that need high strength, manoeuvrability and dexterity. Thi…

cs.RO2019

A Generic Synchronous Dataflow Architecture to Rapidly Prototype and Deploy Robot Controllers

Diego Ferigo, Silvio Traversaro, Francesco Romano +1

The paper presents a software architecture to optimize the process of prototyping and deploying robot controllers that are synthesized using model-based design methodologies. The a…

cs.RO2018

Towards Partner-Aware Humanoid Robot Control Under Physical Interactions

Yeshasvi Tirupachuri, Gabriele Nava, Claudia Latella +5

The topic of physical human-robot interaction received a lot of attention from the robotics community because of many promising application domains. However, studying physical inte…

cs.RO2018

Exploiting Friction in Torque Controlled Humanoid Robots

Gabriele Nava, Diego Ferigo, Daniele Pucci

A common architecture for torque controlled humanoid robots consists in two nested loops. The outer loop generates desired joint/motor torques, and the inner loop stabilises these…