Using learned visual landmarks for intelligent topological navigation of mobile robots

M Mata; JM Armingol; A de la Escalera; MA Salichs

doi:10.1109/ROBOT.2003.1241775

Using learned visual landmarks for intelligent topological navigation of mobile robots

M Mata, JM Armingol, A de la Escalera, MA Salichs

Research output: Chapter in Book/Report/Conference proceeding › Chapter

14 Citations (Scopus)

Abstract

This paper presents practical, high-level topological navigation tasks, making use of our general purpose landmark learning and detection system, which includes the possibility of reading text or icons inside detected landmarks. Room identification from inside, without any initialization, is achieved through its landmark signature. Room search along a corridor is done by reading the content of room nameplates placed around for human use; this allow the robot to take high-level decisions, and results in a higher integration degree of mobile robotics in real life.

Original language	English
Title of host publication	2003 IEEE International Conference on Robotics and Automation, Vols 1-3, Proceedings
Publisher	IEEE
Pages	1324-1329
Number of pages	6
ISBN (Print)	9780780377363
DOIs	https://doi.org/10.1109/ROBOT.2003.1241775
Publication status	Published - Nov 2003
Event	2003 IEEE International Conference on Robotics and Automation - Teipei, Taiwan Duration: 14 Sept 2003 → 19 Sept 2003

Conference

Conference	2003 IEEE International Conference on Robotics and Automation
Country/Territory	Taiwan
City	Teipei
Period	14/09/03 → 19/09/03

Keywords

intelligent robots
navigation
mobile robots
position measurement
image recognition
robotics and automation
systems engineering and theory

Documents and Links

10.1109/ROBOT.2003.1241775

Cite this

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title = "Using learned visual landmarks for intelligent topological navigation of mobile robots",

abstract = "This paper presents practical, high-level topological navigation tasks, making use of our general purpose landmark learning and detection system, which includes the possibility of reading text or icons inside detected landmarks. Room identification from inside, without any initialization, is achieved through its landmark signature. Room search along a corridor is done by reading the content of room nameplates placed around for human use; this allow the robot to take high-level decisions, and results in a higher integration degree of mobile robotics in real life.",

keywords = "intelligent robots, navigation, mobile robots, position measurement, image recognition, robotics and automation, systems engineering and theory",

author = "M Mata and JM Armingol and {de la Escalera}, A and MA Salichs",

year = "2003",

month = nov,

doi = "10.1109/ROBOT.2003.1241775",

language = "English",

isbn = "9780780377363",

pages = "1324--1329",

booktitle = "2003 IEEE International Conference on Robotics and Automation, Vols 1-3, Proceedings",

publisher = "IEEE",

address = "United States",

note = "2003 IEEE International Conference on Robotics and Automation ; Conference date: 14-09-2003 Through 19-09-2003",

}

Mata, M, Armingol, JM, de la Escalera, A & Salichs, MA 2003, Using learned visual landmarks for intelligent topological navigation of mobile robots. in 2003 IEEE International Conference on Robotics and Automation, Vols 1-3, Proceedings. IEEE, pp. 1324-1329, 2003 IEEE International Conference on Robotics and Automation, Teipei, Taiwan, 14/09/03. https://doi.org/10.1109/ROBOT.2003.1241775

TY - CHAP

T1 - Using learned visual landmarks for intelligent topological navigation of mobile robots

AU - Mata, M

AU - Armingol, JM

AU - de la Escalera, A

AU - Salichs, MA

PY - 2003/11

Y1 - 2003/11

N2 - This paper presents practical, high-level topological navigation tasks, making use of our general purpose landmark learning and detection system, which includes the possibility of reading text or icons inside detected landmarks. Room identification from inside, without any initialization, is achieved through its landmark signature. Room search along a corridor is done by reading the content of room nameplates placed around for human use; this allow the robot to take high-level decisions, and results in a higher integration degree of mobile robotics in real life.

AB - This paper presents practical, high-level topological navigation tasks, making use of our general purpose landmark learning and detection system, which includes the possibility of reading text or icons inside detected landmarks. Room identification from inside, without any initialization, is achieved through its landmark signature. Room search along a corridor is done by reading the content of room nameplates placed around for human use; this allow the robot to take high-level decisions, and results in a higher integration degree of mobile robotics in real life.

KW - intelligent robots

KW - navigation

KW - mobile robots

KW - position measurement

KW - image recognition

KW - robotics and automation

KW - systems engineering and theory

U2 - 10.1109/ROBOT.2003.1241775

DO - 10.1109/ROBOT.2003.1241775

M3 - Chapter

SN - 9780780377363

SP - 1324

EP - 1329

BT - 2003 IEEE International Conference on Robotics and Automation, Vols 1-3, Proceedings

PB - IEEE

T2 - 2003 IEEE International Conference on Robotics and Automation

Y2 - 14 September 2003 through 19 September 2003

ER -

Using learned visual landmarks for intelligent topological navigation of mobile robots

Abstract

Conference

Keywords

Documents and Links

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