Robot reinforcement learning for automatically avoiding a dynamic obstacle in a virtual environment

Phuong Chu, Hoang Vu, Donghyeon Yeo, Byeonggwon Lee, Kyhyun Um, Kyungeun Cho

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

5 Scopus citations

Abstract

In a virtual environment, a robot can serve people by bringing things to them. However, when a robot moves within a house, it collides with a dynamic obstacle. These collisions make it difficult for a robot to complete its mission. We therefore apply reinforcement learning to the robot to make it more intelligent. Consequently, the robot can automatically move to avoid the dynamic obstacle in order to successfully complete its mission.

Original languageEnglish
Title of host publicationAdvanced Multimedia and Ubiquitous Engineering - Future Information Technology
EditorsNeil Y. Yen, James J. Park, Han-Chieh Chao, Hamid Arabnia
PublisherSpringer Verlag
Pages157-164
Number of pages8
ISBN (Electronic)9783662474860
DOIs
StatePublished - 2015
Event10th International Conference on Future Information Technology, FutureTech 2015 - Hanoi, Viet Nam
Duration: 18 May 201520 May 2015

Publication series

NameLecture Notes in Electrical Engineering
Volume352
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference10th International Conference on Future Information Technology, FutureTech 2015
Country/TerritoryViet Nam
CityHanoi
Period18/05/1520/05/15

Keywords

  • Automatic
  • Dynamic obstacle
  • Reinforcement learning
  • Virtual environment
  • Virtual robot

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