Dexterous skills transfer by extending human body schema to a robotic hand

Erhan Oztop, Li Heng Lin, Mitsuo Kawato, Gordon Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

24 Scopus citations

Abstract

We propose a framework for skills transfer to robots, exploiting the plasticity of the human brain in representing its body parts - the body schema. The conceptual idea is, in the first stage, to incorporate the target robotic platform into the experimenter's neural representation of his/her own body. In the second stage, the dexterity on a task exhibited with the new external limb -the robot- then can be used for imitation or designing controllers for the task under consideration. In this study, following the steps outlined, we show how dexterous skill transfer can be achieved on a 16-DOF robotic hand, justifying the effectiveness of the proposed method and confirming the flexibility of the human brain in representing the body schema.

Original languageEnglish
Title of host publicationProceedings of the 2006 6th IEEE-RAS International Conference on Humanoid Robots, HUMANOIDS
Pages82-87
Number of pages6
DOIs
StatePublished - 2006
Externally publishedYes
Event2006 6th IEEE-RAS International Conference on Humanoid Robots, HUMANOIDS - Genoa, Italy
Duration: 4 Dec 20066 Dec 2006

Publication series

NameProceedings of the 2006 6th IEEE-RAS International Conference on Humanoid Robots, HUMANOIDS

Conference

Conference2006 6th IEEE-RAS International Conference on Humanoid Robots, HUMANOIDS
Country/TerritoryItaly
CityGenoa
Period4/12/066/12/06

Keywords

  • Body schema
  • Hand control
  • Skill transfer

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