Real-time path planning optimisation algorithm for obstacle avoidance

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

This paper presents a new real-time path planning algorithm suitable for implementation on small mobile robots to aid navigation in unknown environments. The Random Obstacle Avoidance (R.O.A) algorithm was developed for small robots and it can be used as the basis for mapping the environment. The algorithm has been tested through a specially developed simulation environment using MATLAB. The main characteristics of the algorithm are simplicity, ease of implementation, speed, and efficiency.
LanguageEnglish
Title of host publicationInternational Control Conference (ICC2006)
Place of PublicationGlasgow
PublisherUniversity of Strathclyde
Pages62-68
Number of pages6
ISBN (Print)0947649549
Publication statusPublished - Sep 2006
EventInternational Control Conference 2006 - Glasgow, UK
Duration: 30 Aug 20061 Sep 2006
http://ukacc.group.shef.ac.uk/Control_Conferences/Control2006/icc2006.htm

Conference

ConferenceInternational Control Conference 2006
Abbreviated titleICC2006
CityGlasgow, UK
Period30/08/061/09/06
OtherThe Conference covers Methods, Technology, Applications and Education in Control Engineering. UKACC seeks to act as an effective link between the UK and the international control communities, and to provide a focus for International Federation of Automatic Control (IFAC) related activities. UKACC has three constituent members: The Institution of Engineering and Technology (IET), The Institute of Measurement and Control (IMC), and The Institution of Mechanical Engineers (IMechE).
Internet address

Fingerprint

Collision avoidance
Motion planning
Mobile robots
MATLAB
Navigation
Robots

Keywords

  • path planning
  • obstacle avoidance
  • mobile root control

Cite this

Hur, S., & Petropoulakis, L. (2006). Real-time path planning optimisation algorithm for obstacle avoidance. In International Control Conference (ICC2006) (pp. 62-68). Glasgow: University of Strathclyde.
Hur, S. ; Petropoulakis, L. / Real-time path planning optimisation algorithm for obstacle avoidance. International Control Conference (ICC2006). Glasgow : University of Strathclyde, 2006. pp. 62-68
@inproceedings{9c632d5ace7a44db9b70f823f8bc8660,
title = "Real-time path planning optimisation algorithm for obstacle avoidance",
abstract = "This paper presents a new real-time path planning algorithm suitable for implementation on small mobile robots to aid navigation in unknown environments. The Random Obstacle Avoidance (R.O.A) algorithm was developed for small robots and it can be used as the basis for mapping the environment. The algorithm has been tested through a specially developed simulation environment using MATLAB. The main characteristics of the algorithm are simplicity, ease of implementation, speed, and efficiency.",
keywords = "path planning, obstacle avoidance, mobile root control",
author = "S. Hur and L. Petropoulakis",
year = "2006",
month = "9",
language = "English",
isbn = "0947649549",
pages = "62--68",
booktitle = "International Control Conference (ICC2006)",
publisher = "University of Strathclyde",

}

Hur, S & Petropoulakis, L 2006, Real-time path planning optimisation algorithm for obstacle avoidance. in International Control Conference (ICC2006). University of Strathclyde, Glasgow, pp. 62-68, International Control Conference 2006, Glasgow, UK, 30/08/06.

Real-time path planning optimisation algorithm for obstacle avoidance. / Hur, S.; Petropoulakis, L.

International Control Conference (ICC2006). Glasgow : University of Strathclyde, 2006. p. 62-68.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

TY - GEN

T1 - Real-time path planning optimisation algorithm for obstacle avoidance

AU - Hur, S.

AU - Petropoulakis, L.

PY - 2006/9

Y1 - 2006/9

N2 - This paper presents a new real-time path planning algorithm suitable for implementation on small mobile robots to aid navigation in unknown environments. The Random Obstacle Avoidance (R.O.A) algorithm was developed for small robots and it can be used as the basis for mapping the environment. The algorithm has been tested through a specially developed simulation environment using MATLAB. The main characteristics of the algorithm are simplicity, ease of implementation, speed, and efficiency.

AB - This paper presents a new real-time path planning algorithm suitable for implementation on small mobile robots to aid navigation in unknown environments. The Random Obstacle Avoidance (R.O.A) algorithm was developed for small robots and it can be used as the basis for mapping the environment. The algorithm has been tested through a specially developed simulation environment using MATLAB. The main characteristics of the algorithm are simplicity, ease of implementation, speed, and efficiency.

KW - path planning

KW - obstacle avoidance

KW - mobile root control

UR - http://ukacc.group.shef.ac.uk/proceedings/control2006/icc2006.htm

UR - http://ukacc.group.shef.ac.uk/

M3 - Conference contribution book

SN - 0947649549

SP - 62

EP - 68

BT - International Control Conference (ICC2006)

PB - University of Strathclyde

CY - Glasgow

ER -

Hur S, Petropoulakis L. Real-time path planning optimisation algorithm for obstacle avoidance. In International Control Conference (ICC2006). Glasgow: University of Strathclyde. 2006. p. 62-68