Learning on real robots from their direct interaction with the environment

P. Quintía, R. Iglesias, M. A. Rodríguez, C. V. Regueiro

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

Abstract

We present a new solution to achieve fast and continuous learning and adaptation processes on a real robot, even when the robot receives reinforcement from a human observer. The person does not need to have any kind of robotics knowledge, and will be able to provide the reward signal to the robot with a wireless joystick. Despite this highly-non-deterministic reinforcement, the robot is able to reach the desired behaviour in short periods of time.

Original languageEnglish
Title of host publicationAdvances in Autonomous Robotics - Joint Proceedings of the 13th Annual TAROS Conference and the 15th Annual FIRA RoboWorld Congress
Pages444-445
Number of pages2
DOIs
StatePublished - 2012
Externally publishedYes
EventJoint of the 13th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2012 and the 15th Annual FIRA RoboWorld Congress - Bristol, United Kingdom
Duration: Aug 20 2012Aug 23 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7429 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceJoint of the 13th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2012 and the 15th Annual FIRA RoboWorld Congress
Country/TerritoryUnited Kingdom
CityBristol
Period08/20/1208/23/12

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