iCub3 Avatar System: Enabling Remote Fully-Immersive Embodiment of Humanoid Robots
Stefano Dafarra, Ugo Pattacini, Giulio Romualdi, Lorenzo Rapetti,, Riccardo Grieco, Kourosh Darvish, Gianluca Milani, Enrico Valli, Ines, Sorrentino, Paolo Maria Viceconte, Alessandro Scalzo, Silvio Traversaro,, Carlotta Sartore, Mohamed Elobaid, Nuno Guedelha, Connor Herron

TL;DR
This paper introduces iCub3, a humanoid robot, and a versatile avatar system that enables remote, fully-immersive embodiment of humanoid robots with multimodal sensory feedback, validated through real-world remote interactions and public demonstrations.
Contribution
The paper presents the development of iCub3 as an advanced humanoid robot and a comprehensive avatar system enabling remote embodiment with multimodal sensory feedback, validated in diverse real-world scenarios.
Findings
Successful remote interaction with the avatar in art exhibitions and festivals.
Effective embodiment of locomotion, manipulation, and communication modalities.
Validation of system versatility across different applications and distances.
Abstract
We present an avatar system designed to facilitate the embodiment of humanoid robots by human operators, validated through iCub3, a humanoid developed at the Istituto Italiano di Tecnologia (IIT). More precisely, the contribution of the paper is twofold: first, we present the humanoid iCub3 as a robotic avatar which integrates the latest significant improvements after about fifteen years of development of the iCub series; second, we present a versatile avatar system enabling humans to embody humanoid robots encompassing aspects such as locomotion, manipulation, voice, and face expressions with comprehensive sensory feedback including visual, auditory, haptic, weight, and touch modalities. We validate the system by implementing several avatar architecture instances, each tailored to specific requirements. First, we evaluated the optimized architecture for verbal, non-verbal, and physical…
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Taxonomy
TopicsSocial Robot Interaction and HRI · Innovative Human-Technology Interaction · Reinforcement Learning in Robotics
