Task Planning based on Intelligence Algorithm

Authors

  • Peter Lamal

Keywords:

Q-learning, hybrid genetic algorithm, task planning under uncertainty

Abstract

Distributed decision-making is one of the key methods to improve the autonomy of multi-robots. This paper establishes a distributed task allocation model considering local communication, AGV power consumption and path conflict-free.

References

H. Choi, L. Brunet and J. P. How, "Consensus-Based Decentralized Auctions for Robust Task Allocation", IEEE Transactions on Robotics, vol. 25, no. 4, pp. 912-926, Aug. 2009

R. W. Beard, T. W. McLain and M. Goodrich, "Coordinated target assignment and intercept for unmanned air vehicles", Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), pp. 2581-2586, 2002.

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Published

2011-02-16

How to Cite

Lamal, P. (2011). Task Planning based on Intelligence Algorithm. International Journal of Computer (IJC), 3(1), 1–10. Retrieved from https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/37

Issue

Vol. 3 No. 1 (2011)

Section

Articles

License

Copyright (c) 2011 International Journal of Computer (IJC)

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