Fast adaptation for effect-aware pushing

Federico Ruiz-Ugalde, Gordon Cheng, Michael Beetz

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

22 Scopus citations

Abstract

In order to produce robots that are more capable of skilled manipulation tasks, they must learn meaningful knowledge of how objects behave to external stimulus. With this knowledge a robot can predict the outcome of an action, control the object to serve a particular purpose, and together with reasoning, create or modify robot plans. In this paper we 1) build a mathematical compact model for planar sliding motion of an object, 2) show how a robot acquires the parameters of such a model; then how this is used to 3) predict pushing actions; and 4) to move an object from any position and orientation to another.

Original languageEnglish
Title of host publication2011 11th IEEE-RAS International Conference on Humanoid Robots, HUMANOIDS 2011
Pages614-621
Number of pages8
DOIs
StatePublished - 2011
Event2011 11th IEEE-RAS International Conference on Humanoid Robots, HUMANOIDS 2011 - Bled, Slovenia
Duration: 26 Oct 201128 Oct 2011

Publication series

NameIEEE-RAS International Conference on Humanoid Robots
ISSN (Print)2164-0572
ISSN (Electronic)2164-0580

Conference

Conference2011 11th IEEE-RAS International Conference on Humanoid Robots, HUMANOIDS 2011
Country/TerritorySlovenia
CityBled
Period26/10/1128/10/11

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