Modeling Human Motor Skills to Enhance Robots’ Physical Interaction

Giuseppe Averta*, Visar Arapi, Antonio Bicchi, Cosimo della Santina, Matteo Bianchi

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

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The need for users’ safety and technology acceptability has incredibly increased with the deployment of co-bots physically interacting with humans in industrial settings, and for people assistance. A well-studied approach to meet these requirements is to ensure human-like robot motions and interactions. In this manuscript, we present a research approach that moves from the understanding of human movements and derives usefull guidelines for the planning of arm movements and the learning of skills for physical interaction of robots with the surrounding environment.

Original languageEnglish
Title of host publicationHuman-Friendly Robotics 2020
Subtitle of host publicationProceedings of the 13th International Workshop on Human-Friendly Robotics (HFR 2020)
EditorsMatteo Saveriano, Erwan Renaudo, Antonio Rodríguez-Sánchez, Justus Piater
ISBN (Electronic)978-3-030-71356-0
ISBN (Print)978-3-030-71355-3
Publication statusPublished - 2021
EventHFR 2020: 13th International Workshop on Human-Friendly Robotics - Innsbruck, Austria
Duration: 1 Oct 20202 Oct 2020

Publication series

NameSpringer Proceedings in Advanced Robotics
ISSN (Print)2511-1256
ISSN (Electronic)2511-1264


WorkshopHFR 2020: 13th International Workshop on Human-Friendly Robotics

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • Human motor control
  • Human-like robotic movements
  • Learning from humans
  • Machine learning


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