poster

Adding decision-making capability to robots

Author:

Earl B. SmithAuthors Info & Claims

ACMSE '10: Proceedings of the 48th annual ACM Southeast Conference

Article No.: 90, Pages 1 - 2

https://doi.org/10.1145/1900008.1900128

Published: 15 April 2010 Publication History

Get Access

Abstract

This paper will be a discussion on making robots more autonomous. This type of research in the past has not only involved space related applications but also motion devices on Earth such as automobiles and aircraft. This work will mainly involve mobile robots but also stationary ones as well.

References

[1]

Smith, E. B., and Langari, R., "Fuzzy Multi-Objective Decision Making for Navigation and Motion Control in Mobile Robotics," International Journal of Intelligent and Fuzzy Systems, Vol. 14, No. 2, pp. 95--108, March 2004.

Digital Library

Google Scholar

[2]

Laubach, Sharon, "Mars Rovers: July 4, 1997, and Beyond, Crossroads: The ACM Student Magazine, May 22, 1998, http://www.acm.org/crossroads/xrds4-3/rover.html.

Digital Library

Google Scholar

[3]

Howard, R., Tunstel, E, Elliott-Lewis, D. Bussey, H., Bridges, J, Taylor, C., "Mobile Surface Systems in a Moonbase System of Systems," 2007 IEEE Intl. Conference on System of Systems Engineering, pp. 1--6, April 16--18, 2007, San Antonio, TX.

Google Scholar

[4]

Parsons, Charles, Executive Director, Future Car, Discovery Communications, 2007, DVD.

Google Scholar

[5]

Smith, E. B., "Determining the Preferences," The 47^th ACM Southeast Conference, March 19--21, 2009, Clemson, SC.

Digital Library

Google Scholar

Index Terms

Adding decision-making capability to robots
1. Mathematics of computing
  1. Mathematical software

Recommendations

A hybrid approach with fuzzy logic in a multi-agent system for controlling autonomous mobile robots in known environments

This paper describes the development of a multi-agent system (MAS), which is supported with fuzzy logic (to control the robot's movements in a reactive path) and vision, which helps the control of an autonomous mobile robot to exit a maze. The research ...
Design and Simulation of Autonomous Mobile Robots Obstacle Avoidance System
LNCS on Transactions on Edutainment XIII - Volume 10092

Autonomous mobile robot is a completely unknown or partially unknown, of its complex environment, which requires the ability to avoid obstacles in order to move safely and avoid the collisions while navigating. To solve this problem, it opted to propose ...
Fuzzy self-localization using natural features in the four-legged league
RoboCup 2004

In the RoboCup four-legged league, robots mainly rely on artificial coloured landmarks for localisation. As it was done in other leagues, artificial landmarks will soon be removed as part of the RoboCup push toward playing in more natural environments. ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ACMSE '10: Proceedings of the 48th annual ACM Southeast Conference

April 2010

488 pages

ISBN:9781450300643

DOI:10.1145/1900008

Conference Chair:
H. Conrad Cunningham
University of Mississippi
,
Program Chairs:
Paul Ruth,
Nicholas A. Kraft

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 April 2010

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Poster

Conference

ACM SE '10

Sponsor:

ACM SE '10: ACM Southeast Regional Conference

April 15 - 17, 2010

Mississippi, Oxford

Acceptance Rates

ACMSE '10 Paper Acceptance Rate 48 of 94 submissions, 51%;

Overall Acceptance Rate 502 of 1,023 submissions, 49%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
91
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 23 Feb 2025

Other Metrics

View Author Metrics

Citations

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Index Terms

Recommendations

A hybrid approach with fuzzy logic in a multi-agent system for controlling autonomous mobile robots in known environments

Design and Simulation of Autonomous Mobile Robots Obstacle Avoidance System

Fuzzy self-localization using natural features in the four-legged league

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations