Intelligent power management: Promoting power-consciousness in teams of mobile robots

Apostolos Kottas, Andrew Drenner, Nikolaos P Papanikolopoulos

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

12 Scopus citations

Abstract

Effective robotic autonomy requires an accurate estimation of the remaining power that the robot is carrying. There are a number of methods to estimate the remaining capacity of the robot's batteries. The accuracy of these approaches varies depending upon the chemical composition of the batteries as well as the means by which the monitoring is conducted. In this paper, an overview of various battery capacity estimation methodologies will be presented as well as a discussion of a specific implementation utilized on robotic platforms developed at the Center for Distributed Robotics at the University of Minnesota. This approach involves the novel use of fuel-gauging electronics for mobile robotic platforms. Experiments were conducted to show the accuracy of this method for both chargeand discharge of the polymer Lithium-ion batteries in use.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Robotics and Automation, ICRA '09
Pages1140-1145
Number of pages6
DOIs
StatePublished - Nov 2 2009
Event2009 IEEE International Conference on Robotics and Automation, ICRA '09 - Kobe, Japan
Duration: May 12 2009May 17 2009

Other

Other2009 IEEE International Conference on Robotics and Automation, ICRA '09
CountryJapan
CityKobe
Period5/12/095/17/09

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