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ORCAS: optimized robots configuration and scheduling system

Published: 13 April 2015 Publication History

Abstract

In this paper, we study a distributed intelligent multi-robot system (MRS) in assembly setting where robots have partially overlapping capabilities. We treat the problem of the system's self-(re)configurability and self-optimization. In this light, we propose a distributed and optimized robots configuration and scheduling system ORCAS which integrates the MRS configuration based on semantic descriptions with process scheduling.

References

[1]
P. Cowling and M. Johansson. Using real time information for effective dynamic scheduling. Euro. J. of Op. Res., 139(2):230--244, 2002.
[2]
S. Giordani, M. Lujak, and F. Martinelli. A distributed multi-agent production planning and scheduling framework for mobile robots. Computers and Industrial Engineering, 64(1):19--30, 2013.
[3]
M. Naumann, M. Bengel, and A. Verl. Automatic generation of robot applications using a knowledge integration framework. In Robotics (ISR), 2010 6th Germ. Conf. on Robotics (ROBOTIK), pages 1--8. 2010.
[4]
D. Ouelhadj and S. Petrovic. A survey of dynamic scheduling in manufacturing systems. Journal of Scheduling, 12(4):417--431, 2009.
[5]
J. Persson, A. Gallois, and A. Björkelund et al. A knowledge integration framework for robotics. In Robotics (ISR), 2010 6th Germ. Conf. on Robotics (ROBOTIK), pages 1--8. 2010.
[6]
G. E. Vieira, J. W. Herrmann, and E. Lin. Rescheduling manufacturing systems: a framework of strategies, policies, and methods. Journal of scheduling, 6(1):39--62, 2003.

Cited By

View all
  • (2021)Automatized Generation of Alternatives for Process Monitoring in Cyber-Physical Assembly SystemsProcedia CIRP10.1016/j.procir.2021.11.123104(732-737)Online publication date: 2021
  • (2018)System Design for Coordinated Multi-robot Assistance Deployment in Smart Spaces2018 Second IEEE International Conference on Robotic Computing (IRC)10.1109/IRC.2018.00068(324-329)Online publication date: Jan-2018
  • (2018)Towards Robots-Assisted Ambient IntelligenceMulti-Agent Systems and Agreement Technologies10.1007/978-3-030-01713-2_34(490-497)Online publication date: 14-Oct-2018

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Published In

cover image ACM Conferences
SAC '15: Proceedings of the 30th Annual ACM Symposium on Applied Computing
April 2015
2418 pages
ISBN:9781450331968
DOI:10.1145/2695664
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 April 2015

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Author Tags

  1. assembly
  2. flexible robot systems
  3. industrial robots
  4. multi-agent systems
  5. ontologies
  6. semantic web

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  • Short-paper

Funding Sources

  • EU Structural Funds FSE and FEDER

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SAC 2015
Sponsor:
SAC 2015: Symposium on Applied Computing
April 13 - 17, 2015
Salamanca, Spain

Acceptance Rates

SAC '15 Paper Acceptance Rate 291 of 1,211 submissions, 24%;
Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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SAC '25
The 40th ACM/SIGAPP Symposium on Applied Computing
March 31 - April 4, 2025
Catania , Italy

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Cited By

View all
  • (2021)Automatized Generation of Alternatives for Process Monitoring in Cyber-Physical Assembly SystemsProcedia CIRP10.1016/j.procir.2021.11.123104(732-737)Online publication date: 2021
  • (2018)System Design for Coordinated Multi-robot Assistance Deployment in Smart Spaces2018 Second IEEE International Conference on Robotic Computing (IRC)10.1109/IRC.2018.00068(324-329)Online publication date: Jan-2018
  • (2018)Towards Robots-Assisted Ambient IntelligenceMulti-Agent Systems and Agreement Technologies10.1007/978-3-030-01713-2_34(490-497)Online publication date: 14-Oct-2018

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