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Fixed-priority scheduling of variable rate tasks for an autonomous mobile robot

Published: 01 April 2005 Publication History

Abstract

We present an autonomous, mobile, robotics application that requires dynamic adjustments of task execution rates to meet the demands of an unpredictable environment. The Robotic Safety Marker (RSM) system consists of one lead robot, the foreman, and a group of guided robots, called robotic safety markers (a.k.a., barrels). The application requires adjusting task periods on the foreman to achieve desired performance metrics with respect to the speed at which a system activity is completed, the accuracy of RSM placement, or the number of RSMs controlled by the foreman. A static priority scheduling solution is proposed that takes into consideration the strict deadline requirements of some of the tasks and their dynamic periods. Finally, a schedulability analysis is developed that can be executed online to accommodate the dynamic performance requirements and to distinguish between safe operating points and potentially unsafe operating points.

References

[1]
{1} N. Audsley, A. Burns, M. Richardson, and K. T. A. Wellings. Applying new scheduling theory to static priority preemptive scheduling. Software Engineering Journal, 8(5):284-292, September 1993.
[2]
{2} S. Farritor and M. Rentschier. Robotic highaway saftey marker. In C. Mellish, editor, ASME International Mechanical Engineering Congress and Exposition, Montreal, May 2002.
[3]
{3} S. Goddard and K. Jeffay. Analyzing the real-time properties of a dataflow execution paradigm using a synthetic aperture radar application. In Proceedings of the 3rd IEEE Real-Time Technology and Application Symposium, pages 60-71, Montreal, CA, June 1997.
[4]
{4} J. Lehoczky, L. Sha, and Y. Ding. The rate monotonic scheduling algorithm - exact characterization and average case behaviour. In Proceedings of 10th IEEE Real-Time Systems Symposium, pages 166-171, December 1989.
[5]
{5} J.-T. Leung and J. Whitehead. On the complexity of fixed-priority scheduling of periodic real-time tasks. Performance Evaluation, 2(4):237250, December 1982.
[6]
{6} A. Qadi, S. Goddard, J. Huang, and S. Farritor. A performance and schedulability analysis of an autonomous mobile robot. Technical Report TR-UNL-CSE-2004-0015, Computer Science & Engineering, University of Nebraska-Lincoln, December 2004.
[7]
{7} X. Shen. Control of robotic highway saftey markers. Master's thesis, Mechanical Engineering, University Of Nebraska-Lincoln, 2003.
[8]
{8} J. Shi, S. Goddard, A. Lal, and S. Farritor. A real-time model for the robotic highway safety marker system. In Proceedings of the 10th IEEE Real-Time and Embedded Technology and Application Symposium, pages 331-440, Toronto, CA, May 2004.

Cited By

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  • (2022)Task allocation and coordinated motion planning for autonomous multi-robot optical inspection systemsJournal of Intelligent Manufacturing10.1007/s10845-021-01803-133:8(2457-2470)Online publication date: 1-Dec-2022

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Information & Contributors

Information

Published In

cover image ACM SIGBED Review
ACM SIGBED Review  Volume 2, Issue 2
Special issue: IEEE RTAS 2005 work-in-progress
April 2005
42 pages
EISSN:1551-3688
DOI:10.1145/1121788
Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 April 2005
Published in SIGBED Volume 2, Issue 2

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Cited By

View all
  • (2022)Task allocation and coordinated motion planning for autonomous multi-robot optical inspection systemsJournal of Intelligent Manufacturing10.1007/s10845-021-01803-133:8(2457-2470)Online publication date: 1-Dec-2022

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