Continuing Robot Skill Learning after Demonstration with Human Feedback

Continuing Robot Skill Learning after Demonstration with Human Feedback

Though demonstration-based approaches have been successfully applied to learning a variety of robot behaviors, there do exist some limitations. The ability to continue learning after demonstration, based on execution experience with the learned policy, therefore has proven to be an asset to many dem...

Full description

Bibliographic Details
Main Author: Argall Brenna D.
Format: Article
Language:English
Published: EDP Sciences 2011-12-01
Series:BIO Web of Conferences
Online Access:http://dx.doi.org/10.1051/bioconf/20110100004
id doaj-971f863c85cc43e0b4fbab2eae383f42
record_format Article
spelling doaj-971f863c85cc43e0b4fbab2eae383f422021-04-02T18:20:30ZengEDP SciencesBIO Web of Conferences2117-44582011-12-0110000410.1051/bioconf/20110100004Continuing Robot Skill Learning after Demonstration with Human FeedbackArgall Brenna D.Though demonstration-based approaches have been successfully applied to learning a variety of robot behaviors, there do exist some limitations. The ability to continue learning after demonstration, based on execution experience with the learned policy, therefore has proven to be an asset to many demonstration-based learning systems. This paper discusses important considerations for interfaces that provide feedback to adapt and improve demonstrated behaviors. Feedback interfaces developed for two robots with very different motion capabilities - a wheeled mobile robot and high degree-of-freedom humanoid - are highlighted.http://dx.doi.org/10.1051/bioconf/20110100004
collection DOAJ
language English
format Article
sources DOAJ
author Argall Brenna D.
spellingShingle Argall Brenna D.
Continuing Robot Skill Learning after Demonstration with Human Feedback
BIO Web of Conferences
author_facet Argall Brenna D.
author_sort Argall Brenna D.
title Continuing Robot Skill Learning after Demonstration with Human Feedback
title_short Continuing Robot Skill Learning after Demonstration with Human Feedback
title_full Continuing Robot Skill Learning after Demonstration with Human Feedback
title_fullStr Continuing Robot Skill Learning after Demonstration with Human Feedback
title_full_unstemmed Continuing Robot Skill Learning after Demonstration with Human Feedback
title_sort continuing robot skill learning after demonstration with human feedback
publisher EDP Sciences
series BIO Web of Conferences
issn 2117-4458
publishDate 2011-12-01
description Though demonstration-based approaches have been successfully applied to learning a variety of robot behaviors, there do exist some limitations. The ability to continue learning after demonstration, based on execution experience with the learned policy, therefore has proven to be an asset to many demonstration-based learning systems. This paper discusses important considerations for interfaces that provide feedback to adapt and improve demonstrated behaviors. Feedback interfaces developed for two robots with very different motion capabilities - a wheeled mobile robot and high degree-of-freedom humanoid - are highlighted.
url http://dx.doi.org/10.1051/bioconf/20110100004
work_keys_str_mv AT argallbrennad continuingrobotskilllearningafterdemonstrationwithhumanfeedback
_version_ 1721551925864824832

Similar Items