In this paper, we present a dead reckoning sensor to support reliable odometry on mobile robots. This sensor is based on a pair of optical mice rigidly connected to the robot body and its main advantages are 1) this localization system is independent from the kinematics of the robot, 2) the measurement given by the mice is not subject to slipping, since they are independent from the traction wheels, nor to crawling, since they measure displacements in any direction 3) it is a low-cost solution with a precision comparable to classical shaft encoders. Since we have redundant measures it is possible to detect non-systematic errors; in this paper, an automatic procedure to reduce non-systematic errors of the sensor is presented and validated with experimental results on a real mobile robot.

Automatic Error Detection and Reduction for an Odometric Sensor based on Two Optical Mice.

BONARINI, ANDREA;MATTEUCCI, MATTEO;RESTELLI, MARCELLO
2005-01-01

Abstract

In this paper, we present a dead reckoning sensor to support reliable odometry on mobile robots. This sensor is based on a pair of optical mice rigidly connected to the robot body and its main advantages are 1) this localization system is independent from the kinematics of the robot, 2) the measurement given by the mice is not subject to slipping, since they are independent from the traction wheels, nor to crawling, since they measure displacements in any direction 3) it is a low-cost solution with a precision comparable to classical shaft encoders. Since we have redundant measures it is possible to detect non-systematic errors; in this paper, an automatic procedure to reduce non-systematic errors of the sensor is presented and validated with experimental results on a real mobile robot.
2005
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, ICRA 2005, April 18-22, 2005, Barcelona, Spain
9780780389144
INF
File in questo prodotto:
File Dimensione Formato  
icra2005.pdf

Accesso riservato

: Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione 200.33 kB
Formato Adobe PDF
200.33 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/253757
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 70
  • ???jsp.display-item.citation.isi??? 48
social impact