Intelligent embedded real-time software architecture for dynamic skill selection and identification in multi-shaped robots

Laxmisha Rai, Soon Ju Kang

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

Abstract

This paper presents an intelligent embedded, modular software and hardware architecture for multi-shaped robots using real-time dynamic skill identification and selection. It is a layered architecture with reusable and reconfigurable modules, which can embed in an expert system as both hardware and software modules and demonstrated with snake robot and physically reconfigured four-legged robot as examples. The intelligent dynamic selection and synchronization of selected behaviors enable the mobile robot to perform many tasks in complex situations. The architecture proposed is applicable to multi-shaped robots, for dynamic selection of behaviors during reconfiguration, where the hardware and software modules can be reused during reconfiguration. Related videos of these robots can be viewed at: http://rtlab.knu.ac.kr/robots. htm

Original languageEnglish
Title of host publicationAdvances in Hybrid Information Technology - First International Conference, ICHIT 2006, Revised Selected Papers
PublisherSpringer Verlag
Pages546-556
Number of pages11
ISBN (Print)3540773673, 9783540773672
DOIs
StatePublished - 2007
Event1st International Conference on Hybrid Information Technology, ICHIT 2006 - Jeju Island, Korea, Republic of
Duration: 9 Nov 200611 Nov 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4413 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Hybrid Information Technology, ICHIT 2006
Country/TerritoryKorea, Republic of
CityJeju Island
Period9/11/0611/11/06

Fingerprint

Dive into the research topics of 'Intelligent embedded real-time software architecture for dynamic skill selection and identification in multi-shaped robots'. Together they form a unique fingerprint.

Cite this