7 papers · 1 filter
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…
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…
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,…
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…
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…
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…