iCub3 avatar system: Enabling remote fully immersive embodiment of humanoid robots.

Journal: Science robotics
PMID:

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. More precisely, the paper makes two contributions: First, we present the humanoid iCub3 as a robotic avatar that integrates the latest significant improvements after about 15 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 facial expressions with comprehensive sensory feedback including visual, auditory, haptic, weight, and touch modalities. We validated the system by implementing several avatar architecture instances, each tailored to specific requirements. First, we evaluated the optimized architecture for verbal, nonverbal, and physical interactions with a remote recipient. This testing involved the operator in Genoa and the avatar in the Biennale di Venezia, Venice-about 290 kilometers away-thus allowing the operator to visit the Italian art exhibition remotely. Second, we evaluated the optimized architecture for recipient physical collaboration and public engagement on stage, live, at the We Make Future show, a prominent world digital innovation festival. In this instance, the operator was situated in Genoa while the avatar operated in Rimini-about 300 kilometers away-interacting with a recipient who entrusted the avatar with a payload to carry on stage before an audience of approximately 2000 spectators. Third, we present the architecture implemented by the iCub Team for the All Nippon Airways (ANA) Avatar XPrize competition.

Authors

  • Stefano Dafarra
    Artificial and Mechanical Intelligence, Istituto Italiano di Tecnologia, Genoa, Italy.
  • Ugo Pattacini
    iCub Facility, Istituto Italiano di Tecnologia, Genova, Italy.
  • Giulio Romualdi
    Artificial and Mechanical Intelligence, Istituto Italiano di Tecnologia, Genoa, Italy.
  • Lorenzo Rapetti
    Artificial and Mechanical Intelligence, Istituto Italiano di Tecnologia, Genoa, Italy.
  • Riccardo Grieco
    Artificial and Mechanical Intelligence, Istituto Italiano di Tecnologia, Genoa, Italy.
  • Kourosh Darvish
    Artificial and Mechanical Intelligence, Istituto Italiano di Tecnologia, Genoa, Italy.
  • Gianluca Milani
    Artificial and Mechanical Intelligence, Istituto Italiano di Tecnologia, Genoa, Italy.
  • Enrico Valli
    Artificial and Mechanical Intelligence, Istituto Italiano di Tecnologia, Genoa, Italy.
  • Ines Sorrentino
    Artificial and Mechanical Intelligence, Istituto Italiano di Tecnologia, Genoa, Italy.
  • Paolo Maria Viceconte
    Artificial and Mechanical Intelligence, Istituto Italiano di Tecnologia, Genoa, Italy.
  • Alessandro Scalzo
    iCub Tech Facility, Istituto Italiano di Tecnologia, Genoa, Italy.
  • Silvio Traversaro
    Artificial and Mechanical Intelligence, Istituto Italiano di Tecnologia, Genoa, Italy.
  • Carlotta Sartore
    Artificial and Mechanical Intelligence, Istituto Italiano di Tecnologia, Genoa, Italy.
  • Mohamed Elobaid
    Artificial and Mechanical Intelligence, Istituto Italiano di Tecnologia, Genoa, Italy.
  • Nuno Guedelha
    Artificial and Mechanical Intelligence, Istituto Italiano di Tecnologia, Genoa, Italy.
  • Connor Herron
    Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA.
  • Alexander Leonessa
    Virginia Tech, Blacksburg, VA, USA.
  • Francesco Draicchio
    INAIL, Department of Occupational & Environmental Medicine, Monte Porzio Catone, Rome, Italy.
  • Giorgio Metta
  • Marco Maggiali
    Istituto Italiano di Tecnologia, iCub-Tech Facility, Via San Quirico 19d, 16163 Genoa, Italy.
  • Daniele Pucci
    Artificial and Mechanical Intelligence, Istituto Italiano di Tecnologia, Genoa, Italy.